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Chat transcript - Behavioral Science (Epi and biostats)
13:50:10 [Roxanita] The chat session for Behavioral Science is today Tuesday Sept 7 at 8pm (eastern time), it will cover the first part of K-aplan, which is Epidemio, Biostat and other themes which are posted at the chat schedule. See you there guys
13:50:47 [Roxanita] Hi 13:51:16 Roxanita exits from this room 15:15:30 Roxanita enters this room 18:20:56 shamim enters this room 19:14:50 Perudoc enters this room 19:15:41 Roxanita enters this room 19:19:57 Perudoc enters this room 19:20:45 sicca enters this room 19:21:37 [sicca] hello !!!! 19:22:07 [sicca] what is the time for chat? 19:23:21 [sicca] ??????? 19:41:03 Roxanita enters this room 19:50:08 lijun enters this room 19:51:24 calender enters this room 19:55:02 Step_1 enters this room 19:55:51 Roxanita enters this room 19:55:56 Step_1 exits from this room 19:56:05 Step_1 enters this room 19:56:06 >[Step_1] Welcome to our chat. Please obey the net etiquette while chatting: try to be pleasant and polite. 19:56:16 Roxanita exits from this room 19:56:21 Roxanita enters this room 19:56:35 [Roxanita] Hello Step 1, great to see you 19:56:55 [Roxanita] Hi Calender 19:57:02 [Step_1] Hi Rox...great to see you too 19:57:30 [calender] hi 19:57:45 [Step_1] hi calendar 19:57:52 [Roxanita] It was a long weekend. I want to congratulate you for your big step passing Step 1 19:58:14 [calender] hi step1 19:58:59 [Roxanita] I hope I can follow your steps 19:59:02 [Step_1] Thanks Roxanita....I'll be saying the same for you soon enough 19:59:20 hutals enters this room 19:59:34 [hutals] Hi everyone!! 19:59:49 [Step_1] hi hutals 20:00:07 Hmmmmmm enters this room 20:00:12 [Roxanita] I never got to understand well enough Biostatistics but now I have finished the videos and feel better about it 20:00:18 [Roxanita] Hi Hutals 20:00:40 [Hmmmmmm] hi ppl 20:00:46 [Roxanita] welcome Hmmmmmmmmm 20:00:48 [Step_1] hi hmmmmmm 20:00:58 [Hmmmmmm] did i miss anything 20:01:00 [hutals] hey hmmm 20:01:13 [Hmmmmmm] hey step1 and rox, and huts 20:01:22 [Roxanita] we are just saying Hi 20:01:41 [Hmmmmmm] ah i see we have a new person 2day hi calendar 20:02:20 sriramv enters this room 20:02:24 [Roxanita] Step 1 I appreciate a lot your help, everybody does, THANKS !!! 20:02:30 [Hmmmmmm] hey step1 i had a quetions 20:02:33 [calender] hi hmmmmmm 20:02:34 [Step_1] hi sriramv 20:02:37 Brams enters this room 20:03:02 [Roxanita] ok, what chapters are we doing today? 20:03:04 [Step_1] i appreciate all of your help too....i would never have made it if it weren't for all of you 20:03:07 [Hmmmmmm] ooops 20:03:11 NicoToscani enters this room 20:03:14 [Hmmmmmm] im sorry sorry 20:03:32 [Step_1] hi brams and nico 20:03:35 medfan enters this room 20:03:47 [sriramv] hi step_! 20:03:49 [Hmmmmmm] yeah rox i forgot havent chatted for a while 20:03:49 lijun enters this room 20:04:06 [Step_1] hi medfan and lijun 20:04:26 [Brams] Hi Everybody...first time here.. 20:04:27 [Step_1] its great to see all the new faces....this should be a great group 20:04:29 [Roxanita] I was doing some other stuff, nothing to do with this, so it's a new start for me 20:04:47 [NicoToscani] hello 20:04:51 [Roxanita] ok, we are 10 now 20:04:55 [Hmmmmmm] anyways ill rerite... do u think we.bpr3p and fir.aid good for pharam???? (i know it skips antimcriobioals) 20:05:05 [Roxanita] Hi NicoToscani? italian? 20:05:06 [Step_1] welcome brams, you might want to pick a brighter color from rainbow on right....easier to read text that way 20:05:25 [medfan] hi, i'm new to this. i hope you don't mind if i just observe for now. thanks 20:05:46 [Roxanita] welcome medfan 20:06:00 [Step_1] feel free to observe until you feel comfortable and jump in whenever you want 20:06:35 [Step_1] i think kap lan notes in addition to those would be best for completeness 20:06:36 [Brams] OH THANKS step_1..guess I am visible now.. 20:06:45 [medfan] thanks 20:06:47 [Hmmmmmm] ok thanks 20:07:04 [Step_1] much better...thanks 20:07:14 [Step_1] Rox, we'll follow your lead 20:07:17 [Brams] medfan.even i am new as well lets watch togeather okie..: ) 20:07:18 [NicoToscani] Roxanita> hey. nah, just picked the name from steven seagal's movie, Above the Law 20:07:40 [Roxanita] nice 20:07:42 [Hmmmmmm] but webpr3p doesnt miss antyhing too important rite?? i mean yes it misses km. vmax etc etc.. and pharmacodynamic but nothing too drastic rite? 20:08:05 [Hmmmmmm] hi brams, lijun, medfan, nicotoscani, sriramv 20:08:21 [NicoToscani] Hmmmmmm> hey 20:08:25 [Roxanita] Ok, we are within the 10 minutes of Confidence Interval, shall we start ? 20:08:42 [Hmmmmmm] yeah 20:08:47 [Step_1] web prep is meant to hit the important concepts while excluding the details....its probably enough, but you might need a reference if relying only on that 20:08:51 [sriramv] hi hmmmmmm 20:09:05 [Hmmmmmm] yes thanks step1 20:09:12 [Step_1] sure. 20:09:46 [Hmmmmmm] ready when u are rox 20:10:13 [Hmmmmmm] what is the formula for specificity 20:10:29 madalasa enters this room 20:10:35 [Step_1] TN / TN+FP 20:10:44 [calender] TN/TN+FP 20:10:47 [Step_1] hi madalasa 20:11:02 [hutals] tn / tn+fp 20:11:03 [madalasa] Hi 20:11:07 [calender] TELLS ABOUT HEALTHY PEOPLE 20:11:11 [Roxanita] Specificity 20:11:14 [Hmmmmmm] very good all 20:11:23 [Hmmmmmm] and sensitivity? 20:11:38 [Step_1] "sensitive people get sick" so sensitivity is for the diseased people 20:11:51 [Hmmmmmm] yes calendar tells bout healthy ppl 20:12:06 [Roxanita] TP/TP + FN, identifying cases of disease 20:12:13 [madalasa] TP/TP+FN 20:12:13 [Hmmmmmm] very good 20:12:14 [Step_1] special people are healthy, so specificity tells about healthy 20:12:16 [NicoToscani] good one step_1 20:12:34 [Step_1] TP/TP+FN 20:12:37 [Roxanita] SPECIFICITY= SPECIal healthy people 20:12:51 [calender] TP/TP+FN is for sensitivity 20:12:55 [Hmmmmmm] haha great pneumonic step1 (pseudomneumic) 20:13:32 [Hmmmmmm] very good tp /(tp +fn) remember teh brackets 20:13:37 [Roxanita] What is the most common multiply used for US disease Rates? 20:13:43 [Step_1] mneumonics got me through basic sciences....so don't mind me....I'll be posting a bunch 20:14:03 [Brams] Thanks Step_1.. 20:14:08 [madalasa] cool 20:14:40 [Step_1] do you mean denominator Rox? 20:14:58 [madalasa] 100,000 20:15:06 [Hmmmmmm] incidence X duration? 20:15:10 [Step_1] 100,000 if thats what you mean 20:15:17 [Roxanita] no, the multiply. used by the CDC in Atlanta 20:15:18 [madalasa] Prevalence 20:15:33 Perudoc enters this room 20:15:53 [Step_1] agree, its prevalence 20:16:02 [Step_1] hi perudoc 20:16:07 [Hmmmmmm] yep 20:16:11 [Step_1] not sure Rox? 20:16:20 [Perudoc] hi step 1 20:16:26 [Hmmmmmm] ans plez 20:16:28 [Roxanita] about what? 20:16:43 [Hmmmmmm] ur q 20:16:57 [hutals] your question about the multiple used by CDC 20:17:03 [Perudoc] how can I scroll down to see the beginning of the chat? 20:17:04 [Roxanita] In US most diseases rates are under what rate? 20:17:20 [madalasa] 50/100,000 20:17:42 [Roxanita] good 20:17:47 [calender] Formulas for + and - predictive values? 20:17:49 [Hmmmmmm] actual cases/potential cases rox? 20:17:49 [Step_1] under 50/100,000 according to Dr. Daugherty 20:18:02 [Roxanita] that is correct 20:18:28 [Step_1] perudoc, the transcript will be posted later in the step 1 forum 20:18:30 [Roxanita] INCIDENCE: INComing cases 20:18:51 [Step_1] perudoc, you might want to pick a brighter color from rainbow on right 20:19:26 [Step_1] also "incidence are the new incidents" 20:19:27 [Roxanita] What is Attack Rate? 20:19:35 [Hmmmmmm] for positive predictive value i remember all ps (cuz positive) so TP/TP+FP 20:19:37 [Perudoc] ok step 1, gracias 20:19:55 [Hmmmmmm] for negative predictive values i remember all ns (cuz negative) so TN/TN +FN 20:19:59 [Step_1] thats pero...much better 20:19:59 [Brams] Web Prep " Trues on Top Always".. 20:20:01 [Roxanita] and for Negative Predicitve value all negative 20:20:04 [calender] yes..hmmmmmm 20:20:34 [madalasa] whats secondary disease prevention? 20:20:36 [Roxanita] Attack Rate? 20:20:50 [Step_1] for once, the formula actually makes sense....all pos with pos pred value and all neg with neg pred value 20:22:00 [Hmmmmmm] attack rate is incidence rite? 20:22:01 [hutals] Identifying and treating people with established disease is secondary 20:22:22 [Roxanita] How do you differentiate Point prevalence from Period Prevalence? 20:22:54 [madalasa] no of new cases due to particular cause ....attack rate 20:23:12 [madalasa] Poiint prevalence refers to certain point of time 20:23:12 [Hmmmmmm] ty madalasa 20:23:12 [Roxanita] Attack rate is subtype of Incidence right, but we shrick the Denominator by some known exposure 20:23:31 [Roxanita] shrink the D 20:23:38 [Step_1] point prev is at specified point in time while period prev is during specified period of time 20:23:47 [Brams] yes.. 20:24:02 [madalasa] period during certain period of time 20:24:18 [Hmmmmmm] makes sense 20:24:29 [Roxanita] Madalasa could you explain secondary disease prevention? 20:25:16 [Step_1] I'll give scenerios and you tell me how they affect Incidence and prevalence.....New iffective treatment initiated? 20:25:20 [calender] A pt. got + HIV test and asks what are the chances that my + HIV test is really correct.....which value you will use here? 20:25:27 [Roxanita] which one is bigger, Point or Period Prevalence? 20:25:47 [hutals] incidence would be same, but prevalence would be lower 20:25:50 [madalasa] Period is bigger 20:25:59 [Brams] incidence remains same..prevalance decrease 20:26:06 [Hmmmmmm] calendar sensitivity? 20:26:20 [Roxanita] PPV 20:26:25 [calender] PPV 20:26:27 [Step_1] positive predictive value calendar?? 20:26:34 [hutals] ppv 20:26:47 [calender] ya.. 20:27:05 [Step_1] yes, incidence N, prevalence decreases....very good 20:27:06 [madalasa] Roxanita...Secondary disease prevention is early detection of disease ex.Pap smear 20:27:17 [Hmmmmmm] agree bout incidence same prev decrease 20:27:52 [Step_1] what about if new vaccine? 20:28:13 [Roxanita] we have to remember this to make the correlation: PID 20:28:21 [Brams] both decrease.. 20:28:21 [hutals] both incidence and prevalence lowered 20:28:22 [Hmmmmmm] incidence decrease prevalance decresae 20:28:23 [Roxanita] P= I x D 20:28:29 [madalasa] both decreases 20:28:43 [Step_1] good one Rox 20:28:54 [Roxanita] If Incidence increases ---> prevalence increases; if the time is longer--->prevalence increases 20:29:14 [Step_1] yes, both decrease because less new cases with vaccine and less total cases 20:29:28 [Roxanita] x.e. new vaccine: I decr---> Prev decr 20:29:45 [Hmmmmmm] ty rox 20:30:03 [NicoToscani] ditto 20:30:14 [Roxanita] remember PID , painful but helps on this 20:30:21 [Step_1] what about long term survival rates for the disease increasing? 20:30:49 [Roxanita] same thing... Duration increases---> Prev increases 20:30:49 [madalasa] incidence No change 20:30:50 [hutals] incidence same, prevalence inc 20:31:00 [madalasa] Increased prevalence 20:31:01 [Hmmmmmm] agree with huttals 20:31:03 [Roxanita] P= I x D 20:31:08 [Brams] correct.. 20:31:31 [Step_1] this is one of the only cases where prevalence actually increases....great job everyone 20:32:33 [Roxanita] that's why Faugherty said, treating chronic patients we increase the prevalence of those diseases 20:32:36 [madalasa] what happens to specificity and sensitivity with change in population? 20:32:38 [Roxanita] Daugherty 20:33:10 [madalasa] i mean increase or decreae in number of population 20:33:17 [Roxanita] nothing 20:33:22 ash enters this room 20:33:34 [madalasa] cool right 20:33:36 [ash] hi all 20:33:48 [Hmmmmmm] hey ash 20:34:03 [calender] yep..nothing.bec. it has nothing to do with population 20:34:03 [ash] hi 20:34:27 [Step_1] hi ash 20:34:27 [NicoToscani] calender> thx 4 clarifying 20:34:34 [hutals] hey ask 20:34:34 [madalasa] what happens to Positive predictive value with increaee in population 20:34:41 [hutals] i mean ash 20:34:44 [Hmmmmmm] nothing 20:34:59 [calender] nothing 20:35:02 [ash] increases 20:35:25 rozyaurora enters this room 20:35:27 [ash] i hope you meant increase in prevalence 20:35:32 [calender] how? 20:36:00 [Step_1] hi rozt 20:36:15 [madalasa] ash can you explain how 20:36:28 [hutals] hey rozyaurora 20:36:32 [Hmmmmmm] madalasa whats the ans? 20:36:39 [ash] when prevalence of a disease increases in a population then the likelyhood of a positive test being positive increases 20:36:48 [Brams] Is increase in Population nad prevalance is one and the same??? 20:36:50 kiranadi enters this room 20:37:15 [Step_1] hi kirandi 20:37:19 [madalasa] sorry its my fault its increaee in prevalence 20:37:23 [ash] increase in prevalence and increase in population is not same 20:37:38 [madalasa] so increase in PPV 20:37:42 [Step_1] what type of bias when pts seem to live longer with the disease after it is uncovered by a screening test, but actually do not? 20:37:44 [ash] but i assumed she meant increase in prevalence 20:37:52 [Brams] Thanks ash..and madalasa 20:37:53 [madalasa] yes ash you are right 20:38:06 [Roxanita] ok, then PPV increases? 20:38:25 [Brams] Lead time bias.. 20:38:36 [hutals] lead time bias 20:38:39 [ash] with a screening test it is just found earlier and hence false increase in life 20:38:49 [ash] so lead time bias 20:38:56 [Roxanita] If prevalence Increases: PPV increases and NPV decreases 20:39:01 [ash] yes ppv increases 20:39:09 [Hmmmmmm] agree 20:39:09 [madalasa] Exactly 20:39:19 [Step_1] yes, this is lead time bias where they die at the same time, but we just knew about it sooner 20:39:40 [calender] For comparing 2 means ,which tests to use? 20:39:49 [kiranadi] hi everybody 20:40:05 [rozyaurora] t test 20:40:09 [Hmmmmmm] hey kiran 20:40:13 [kiranadi] am i too late to join? 20:40:16 [ash] hi kiranadi 20:40:17 [madalasa] T test I guess 20:40:17 [NicoToscani] kiranadi> hey k 20:40:22 [ash] nope 20:40:25 [Step_1] T test 20:40:32 [Roxanita] Hi Kiranadi 20:40:49 [Brams] Wut is T test? 20:40:50 [Step_1] Mneumonic is "Mr T is mean" so T test is for means 20:40:57 [ash] for 2 means t test 20:41:16 [calender] yes.. 20:41:17 [Roxanita] that's a good one step 1 20:41:21 [hutals] hey kirandi 20:41:29 [calender] For diff. bet. 3 or >? 20:41:32 [kiranadi] hi 20:41:37 [NicoToscani] yea, thx step 20:41:56 [ash] what exact test for bp in a group and bp in the same group after giving them a drug? 20:42:02 [Hmmmmmm] ty 20:42:07 [Brams] Good one..: ) 20:42:11 [ash] trust step 20:42:38 [ash] trust step_1 to come up with a good pneumonic 20:42:47 [calender] To compare % or frequencies in sample...which test? 20:43:05 [Step_1] thanks ash....i think i borrowed that one from somewhere....but more to come 20:43:24 [ash] pearson? 20:43:27 [rozyaurora] anova test for 3/> 20:43:37 [kiranadi] yup 20:43:40 [Step_1] chi squared 20:43:40 [madalasa] Anova' 20:43:44 [ash] i am waiting step_1 20:43:48 [calender] yep 20:43:59 [calender] right step1 20:44:38 [rozyaurora] for fre chi sq 20:44:55 [Roxanita] Chi Square X2 checks difference between 2 or more % 20:44:57 [Hmmmmmm] agree 20:45:08 [Step_1] ANOVA is ANalysis Of Variance of 3 or more variables 20:45:25 [madalasa] yup 20:45:51 [ash] what is spearman correlation? 20:46:35 [Brams] Speraman or pearson??? 20:46:42 [Roxanita] How many pts do you need to treat to prevent one case if the Incidence of certain disease is 1/1000 ? 20:46:51 [ash] spearman? 20:47:53 [hutals] i think i'm getting set up for a trick question, but its either 1 or 1000?? 20:48:13 [Brams] I rhink it is one..incidence.. 20:48:17 [madalasa] spearman compares two ordinal level variables 20:48:38 timi enters this room 20:48:38 [ash] roxanita dont we need the duration for this one? 20:48:42 [madalasa] 1000 20:48:49 [Step_1] or none if incidence has nothing to do with treatment 20:48:52 [ash] good madalasa 20:49:07 [Roxanita] Here is one I got at Live Lect but it's not on the videos. Daugherty said. the NNT Number Needed to treat is the inverse of the Incidence 20:49:07 [ash] yeah step_1 20:49:54 [ash] maybe 1 is the ans as it is to prevent 1 case 20:49:59 [Roxanita] so if The Incidence is 1/1000, then the NNT would be 1000/1 ; so treating 1000 you can be sure that you are only preventing 1 case 20:50:18 [calender] hey Rox.it is in videos...i heard this but couldn't recall..!! 20:50:22 [ash] oh that was good 20:50:28 [madalasa] cooooooooool 20:50:29 [calender] you are right 20:50:42 [Step_1] good one Rox 20:50:51 [Roxanita] oh good then 20:50:55 [Step_1] hi timi 20:51:28 [Brams] Yeah..i got it..Thanks Roxanita 20:52:07 [Step_1] this was a real one, so no answer is provided. experiment described where x number were randomly selected to take medication while y number were chosen to take placebo. why will results be biased? 20:52:10 [Roxanita] Morbidity rate has to do with incid or prev? 20:52:15 [Roxanita] Mortality rate has to do with? 20:52:15 [ash] i am still confused shouldnt it be a prevention like a vaccine rather than treatment? 20:52:38 [timi] hi, i have to take some time to fit in the discussion 20:53:17 [Step_1] it would need to be assumed that it's a communicable disease if treatment would effect the incidence I think 20:53:19 [ash] morbidity -both .mortality only incidencve 20:53:30 [kiranadi] morbidity is asso with prev 20:53:30 [Roxanita] uhu 20:53:46 [kiranadi] mortality with both 20:53:56 [Step_1] take your time timi and jump in whenever comfortable or sit back and observe....as long as you're learning 20:54:57 [timi] thanks i think i will just try to understand you guys are talking way above my head for sure!!!! 20:55:27 [kiranadi] choose some other color timi so that its visible 20:55:32 [NicoToscani] timi> i'm right with ya 20:55:33 [rozyaurora] selection bias 20:55:42 [calender] What is Meta-Analysis? 20:56:05 [timi] ok how about this? 20:56:10 [madalasa] combining results of many studoes 20:56:11 [Step_1] timi, we've mostly read whatever subject on the schedule from mostly the same source (kap=lan)....not that we're smart...we just recently studied the same material 20:56:35 [timi] oops 20:56:41 [Roxanita] The prevalence of a disease is half as great in town A than it is in town B, but the incidence of the disease is no different in town A than it is in town B. Which of the following best explains these findings? 20:56:51 [kiranadi] thanks timi 20:56:56 [ash] among case fatality rate and proportional mortality rate which is important for public health and which is imp. for physicians? 20:57:16 [Roxanita] A)The case fatality rate is twice as high in town A. B)The duration of the disease is twice as long in town B. C)The number of new cases in town A is twice as many as those in town B. D) People in town A use medical care facilities half as often as those in town B. 20:57:18 [Step_1] also, some of us are on 1st reading, others on 2nd or 3rd, so we all help each other 20:57:34 nne enters this room 20:57:38 [Roxanita] E)The proportion of asymptomatic cases is twice as much in town B than in town A 20:57:40 [ash] town a has more deaths due to the disease 20:58:09 [Brams] Physician-case, public-proportional 20:58:09 [madalasa] Case fatality for physicians and PMR for Public Health 20:58:21 [Roxanita] that question is from NBME 2004 , it doesn't have an answer. 20:58:25 [Step_1] ans to calendar question is pooling data from several studies to achieve greater statistical power 20:58:29 [ash] right brams 20:58:34 [Step_1] hi nne 20:58:39 [ash] right madalasa 20:58:41 [calender] right step1 20:58:56 [rozyaurora] b 20:59:06 [timi] thanks step_1 for def os meta analysis 20:59:15 [Roxanita] I will post the questions and we can discuss them in the forum. Is that fine? 20:59:40 [madalasa] that would be nice 20:59:55 [Brams] yes..we can ponder again and again.. 21:00:01 [ash] sure 21:00:01 [kiranadi] yup 21:00:13 [Roxanita] As you know is good to review those questions cause similar ones come on the real exam 21:00:18 [calender] good idea 21:00:32 [Step_1] yes, seems like a good thinking question.....great one rox 21:01:02 [ash] what is the inference of 2 lines on a scatterplot? 21:01:17 [Brams] Foe me it looks like a IQ test question..: ( 21:02:23 [Brams] Sorry I am referring to previous question from Roxanita,, 21:03:08 [madalasa] I don't understand you Q, Ash 21:03:19 [Roxanita] 2 lines? 21:03:27 [timi] ash,,i am blown off!! 21:03:37 [calender] for analysis of cohort study which tets to use? 21:03:40 [Brams] Wut is scatterplot..by the way??? 21:03:47 [calender] tests 21:04:08 [timi] scatterplot!! no idea? 21:04:15 [madalasa] Calendar Relative Risk , attributable risk 21:04:21 [ash] in a scatterplot if you get 2 lines or an angle or crossed lines what will you conclude? 21:04:44 crusher enters this room 21:04:53 [calender] rt. madalsa 21:05:00 [crusher] hi everyone 21:05:10 [timi] relative risk for cohort study 21:05:19 [Brams] is it Zero correlation..???? 21:05:32 [madalasa] No correlation 21:05:41 [Step_1] hi crusher 21:05:52 [Roxanita] Hi Crusher 21:05:52 [hutals] hey crush 21:05:54 [ash] the answer should be -no correlation as we are looking for linear correlation in a scatterplot and if you get some odd shapes it will be no correlation 21:05:59 [NicoToscani] or attributable risk right? 21:06:16 [timi] cohort study is the best predictor of causality 21:06:19 [ash] right brams and madalasa 21:06:34 [ash] hi crusher 21:06:50 [calender] RR: How much more likely and AR: How many more cases in one gp.? 21:06:58 [Roxanita] For Cohort Study usamos RR &/or AR 21:07:13 [Brams] RR divide, AR Subtract 21:07:15 [calender] rt. rox 21:07:26 [madalasa] exactly calendar 21:07:26 [ash] and odds ratio for case control 21:07:43 [calender] yeo ash 21:08:05 [Brams] Case control Odds ratio..Case control Odds ratio..Rythm.. : ) 21:08:06 [Step_1] Assuming mean IQ in general population 100 and SD is 30. How many people is a population of 2000 will have an IQ greater than 200.?? 21:08:19 [calender] what is odds ratio? 21:08:30 [ash] none 21:08:52 [rozyaurora] 0.15 21:08:58 [madalasa] did anyone know what is attributable risk percent? 21:09:24 [timi] it is the increased odds of getting a dis with exposure vs non-exposure to a risk factor 21:09:40 [madalasa] 0.15 21:09:44 [Brams] rozyaurora..can u explain us please?? 21:09:58 [Roxanita] Ar is "how many more cases do I have in one group relatively to the other group" 21:10:06 [crusher] .05?? 21:10:11 [hutals] but it says how many and not what percent. i think its 3 for step 1's question 21:10:43 [madalasa] yes hutals u r right 21:10:47 [madalasa] its 3 21:10:50 [ash] odds ratio is increased odds of getting a disease with exposure to a risk factor as compared to nonexposure to that factor 21:10:57 [calender]>[Step_1] pl.explain this SD Q... 21:11:20 [rozyaurora] 200 is> 3 SD..3/2 is .15 21:11:27 [madalasa] what is attributable risk percent? please explain someone 21:11:33 [timi] what is 3? 21:11:57 [Step_1] yes, this is a tough question, but EXTREMELY high yield.....you're right the correct answer is 3 21:12:13 [Brams] How it is 3??? 21:12:26 [ash] hey guys but 3 sd is just 90 we need beyond 100. 21:12:35 [Step_1] 3 people out of 2000 people is about .15% of 2000 or 3 people 21:12:46 [Brams] yes.. 21:13:28 [Step_1] heres how.....it is asking for only one side of the distribution on not both is the first impt point....so everything is cut in half basically.... 21:13:33 [ash] thats right but didnt you ask for iq beyond 200 which is more than 3 sd(30*3 is 90) 21:13:46 skapaj enters this room 21:13:58 [Roxanita] I think that question is on the forum right step 1? 21:14:10 [skapaj] yes? 21:14:11 [ash] i am saying the ans is even less than .15 21:14:30 [Step_1] yes, that is from the forum and located here http://www.valuemd.com/viewtopic.php?t=10278 21:14:48 [madalasa] you are right ash, 3 is a rounded answer 21:14:50 [Step_1] it has detailed descriptions and graphs 21:15:04 [madalasa] it should be less than 3 21:15:09 [calender] ty step1 21:15:14 [Roxanita] I will check it 21:15:28 [Brams] Step_1 shall we disccuss this in the forum again??? 21:15:59 [Step_1] sure, sounds like another forum type thinking question 21:16:08 [calender] if you are flipping a coin and head comes 2 times in a row,what are the chances of head or tail in third time flip? 21:16:10 [skapaj] NicoToscani> NicoToscani 21:16:37 [ash] 0.5 they are independent 21:16:42 [Step_1] 50% each time regardless of previous times 21:17:09 [madalasa] 0.5 21:17:11 [Step_1] i learned that the hard way in las vegas 21:17:18 jiveturkey enters this room 21:17:25 [calender] yes.bec. it is an independent event 21:17:27 [ash] yeah me too 21:17:45 [Step_1] hi jive 21:17:49 [madalasa] lol 21:17:51 [ash] just been there 21:17:52 [hutals] hey jive 21:17:57 [Roxanita] How do you calculate the Joint probability of an Independent Event? 21:18:03 [crusher] 50% ,,no matter if u get 4 times head consectively 21:18:04 [jiveturkey] sup fellas 21:18:14 [timi] lol 21:18:16 [ash] a+b-ab 21:18:26 [Step_1] 21:18:33 [ash] sorry ab 21:18:41 [madalasa] ab i guess 21:18:58 [Roxanita] and if they are mutually exclusive events? 21:18:58 [hutals] i think you muliply 21:19:10 [calender] of probability togather 21:19:29 [calender] by addition 21:19:31 [ash] add 21:19:42 [calender] if mutually exclusive 21:19:43 [Roxanita] right 21:19:50 [Roxanita] nd if they are not mutually exclusive? 21:19:55 [ash] if nonindependent? 21:20:37 [hutals] Define Tertiary Disease Prevention 21:20:54 [calender] add togather then subtract out multilication product which is the overlap factor 21:21:07 [ash] if not mutually exclusive a+b-ab 21:21:12 [madalasa] reducing diability from disease 21:21:18 [Brams] not mutually exclusive..a+b - ( ab) 21:21:25 [madalasa] sorry disability 21:21:31 [ash] tertiary prevention is disability prevention 21:21:39 [Step_1] tertiary only reduces morbidity 21:21:52 [ash] what is primordial prevention? 21:22:03 [hutals] yep thats right 21:22:09 [Roxanita] The chance of meeting someone who is obese is 30%, the chance of meeting someone who has Diabetes is 10% ; what is the chance to meet somebody who is obese and has DBM? 21:22:13 [calender] A+B-(A x B) 21:22:29 [Roxanita] that's an example of not mutually exclusive 21:22:36 [ash] 37% 21:22:56 [crusher] PRIMARY PREVENTION E.G vaccination... 21:22:58 [ash] what if nonindependent? 21:22:59 [timi] calculate the Joint probability of an Independent Event=ab ,,, if not mutually exclusive = a+b-ab if 21:23:03 [Roxanita] right 21:23:24 [ash] right but what is primordial prevention? 21:23:31 [timi] thansk i get it now 21:23:32 [madalasa] .37 21:23:44 [Roxanita] What is a NORMAL DISTRIBUTION? 21:23:57 [ash] primary and primordial are different 21:24:13 [Brams] X ly the probability of one event by the prob. of second.. 21:24:18 [calender] How will you determine + or - skewness of the distribution curve? 21:24:23 jiveturkey exits from this room 21:24:30 [Roxanita] The Mean (X), the Median (MD) and the Mode are all same value 21:25:23 [madalasa] ans please ash? 21:25:24 [ash] + skew if tail to right and mean more than median.opp in - skew 21:25:35 [timi] YES 21:25:36 [Step_1] the easies way is by looking at the mean, median and mode. If in alphabetical order, its pos skew. i 21:25:55 [calender] if mean is < media..+ skew and if mean is > median ....- skew 21:26:07 [Roxanita] The MEAN guy goes after the TAIL, so the mean (X) is always closer to the tail 21:26:17 [ash] primordial prevention is 1 step before primary prevention it modifies behavioural and risk factors 21:26:42 [madalasa] any examples 21:26:52 monu enters this room 21:26:58 [Brams] I think calender said just opposite..right??? 21:27:00 [Roxanita] yes, if Md>X Positively Skewed and if X>Md Negatively Skewed 21:27:03 [timi] THANKS 21:27:09 [Step_1] mean > median > mode = pos skew because in alphabetical order. the other is the other as golijan would say. 21:27:30 [calender] nice 21:27:32 [Brams] RIGHT.. 21:27:32 [madalasa] agree 21:28:00 [ash] behavioral modification for type a personality to prevent heart disease 21:28:00 [hutals] good stuff 21:28:24 [madalasa] Thanks ash 21:29:02 [hutals] Define the Power of a study 21:29:52 [Step_1] being able to reject null hypothesis if it should be rejected 21:29:55 [timi] POWER=1-B 21:30:13 [madalasa] capacity to detect a defference 21:30:17 [Brams] is the capacity to detect a difference if there i sone.. 21:30:31 [Step_1] power = 1 - (type 2 error) 21:30:32 [ash] power is the capacity to detect a difference if there is one 21:30:39 [Roxanita] Power is related with Type II Error 21:30:48 [hutals] yes, Probability of rejecting a null hypothesis when it is false 21:31:04 [ash] increase in sample size increases power 21:31:15 [Brams] Step_1 guess it is Type 1 error Alpha.. 21:31:16 skapaj enters this room 21:31:38 [calender] power equals the variance 21:31:42 [Roxanita] Type II or Beta error: they will only ask you for Beta Error if they give you the Power. 21:31:50 [Brams] inc in sample size dec beta error 21:32:30 [Step_1] hi skapaj 21:33:41 [lijun] Thanks,everybody, I need to go. bye 21:33:49 [Roxanita] yes, If the sample increases, the power increases --> decreases Beta Error 21:34:01 [calender] If the sample sz increase then what will happen to SD and why? 21:34:18 [Step_1] thanks for joining the chat lijun, hope to see you again 21:34:44 [Roxanita] see you next chat lijun 21:34:57 [Brams] lijun bye! 21:35:02 [timi] THANSK EVERYBODY,,GOOD CHAT ,HAVE TO GO NOW --WILL READ THE TRANSCRIPT. HAPPY STUDYING !! 21:35:03 [madalasa] decreases as SD is inversly related to Population size 21:35:18 [Step_1] oh, should have mentioned this earlier, but chats usually last no longer than 3 hrs, so will be done by 11 pm at latest. is that right rox? 21:35:37 [Step_1] ok timi, see you next chat 21:35:43 [Roxanita] it's good Step 1 21:36:16 [hutals] nite timi and lijun 21:36:29 [Brams] Bye timi.. 21:36:31 jiveturkey enters this room 21:36:39 [Roxanita] I think the most important things we should cover are Epidemio and Biostat today and next chat mostly Ethical issues cause the exam is full of those questions for sure. 21:36:43 [calender] SD will remain constent bec. the mean value is divided by total no. of sample sz. 21:36:50 [Step_1] we should probably move on to other parts since time is half gone 21:37:15 jiveturkey exits from this room 21:37:29 [hutals] Do divorcees remarry frequently? 21:37:40 [calender] yes 21:37:48 [Brams] No..?? 21:38:00 [Step_1] yes 21:38:00 [Brams] Really..?? 21:38:05 [kiranadi] yes 21:38:18 [ash] divorsees yes 21:38:35 [Brams] okie.. 21:38:43 [madalasa] yes 21:38:43 [hutals] just over 50% of women remarry five yrs after divorced 21:38:44 [rozyaurora] thanks, good night guys.need to study before joining in 21:39:13 [calender] fastest growing population is what age gp.? 21:39:14 [Roxanita] bye rozyaurora, see you next chat 21:39:17 [Step_1] ok rozy, hope to see you on friday night 21:39:31 [Brams] yes, we should study more..rozyaurora..Bye!! 21:39:40 [Step_1] 85 and over?? 21:39:45 [ash] why do we find more suicide rates in male physicians as compared to general population? 21:39:49 [kiranadi] yes mee too 21:39:57 [kiranadi] ot to study more 21:39:59 [ash] bye rozy 21:40:10 [calender] rt. step1 21:40:26 [kiranadi] bye rozy!! 21:40:31 [Roxanita] b/c they belong to the high socioeconomical status 21:40:41 [Roxanita] Bye Kiran, see you next chat 21:40:42 [Step_1] now that we all know the basis of the chats, the most important part is the prep for chat. it will help to keep you on a good study pace 21:40:52 [Brams] Roxanita I have made my study schedule according to ur chatt schedule..hopefully I should study well next time..I am not able to recollect anything now.. 21:41:23 [ash] right roxanita 21:41:24 [kiranadi] bye roxanita 21:41:38 [ash] what about female physicians? 21:41:56 [Roxanita] I need to study more too here we are not genius that's why we need this kind of support, we help each other 21:41:58 [Hmmmmmm] sorry ppl im having internet problems 21:42:00 [Step_1] the chats are more about a review after reading the material recently. you will see that it will get easier once you've prepared 21:42:14 [Roxanita] Don't know why 21:42:46 [ash] right and thankyou so much for setting up this beautiful timetable for all 21:42:47 [Brams] wuts the ans ash?? 21:43:23 [Brams] Yes, roxanita..next time I will be better I am sure..: ) 21:43:52 [Roxanita] me too, promise 21:44:08 [Brams] PROMISE..: ) 21:44:09 [ash] well i was hoping someone would know cos i only know that female physicians havs higher suicide rates even when the ses factor is calcelled 21:44:31 [Roxanita] ok, quickly Human Sexuality... Group of people who have the most sex in US? 21:44:31 [Step_1] the chats have helped many of us in the past and they will hopefully do the same for you all. You're all doing great so far....alot better than I did in my first chat 21:44:46 [ash] oops too many spelling mistakes 21:45:02 [ash] homosexuals 21:45:09 [Brams] Yeah Thanks Step_1.. : ) 21:45:23 [Roxanita] lol 21:45:34 [Roxanita] Adolescents have the most sex in US 21:45:47 [madalasa] lol 21:45:52 [ash] oh!!!! 21:45:53 [madalasa] agree] 21:45:55 [Brams] lol.. 21:45:58 [hutals] i was completely silent for at least a month, so you're all ahead of me in my first chat 21:46:03 [ash] shocking 21:46:21 [Brams] really..??? 21:46:29 [Roxanita] 1 million of teens get pregnant every year. 10% of all teenagers 21:46:36 [hutals] Marriages at high risk? 21:46:58 [ash] most likely method by which man or a woman will commit suicide? 21:47:10 [calender] what % of Americans have herpes simplex v.? 21:47:23 [madalasa] fire arms 21:47:29 [Step_1] teens, low ses 21:47:31 [Brams] Firearms ash 21:47:38 [kiranadi] gunshot 21:47:42 [ash] marriages from different economic backgrounds and love matches 21:47:58 [ash] yeah firearms 21:48:17 [ash] what is acamprosate? 21:48:42 [kiranadi] treatment for alcohol abuse 21:48:42 [hutals] yep, Teenage marriages, Mixed religions, Low socio-economic status 21:48:46 [Roxanita] From the pregnant teens: 50% of them have the child and 10% get pregnant. What % of american teenagers give birth every year?....(Joint probability) 21:48:57 [kiranadi] less chance of relapse by using this drug 21:49:17 [ash] right 21:49:37 [Step_1] real question had a bunch of risk factors in a teen who previously tried to commit suicide and asked what is the greatest risk factor that he will try again? 21:50:01 [ash] prevents relapse in alcoholics and lowers activity of receptors for glutamate 21:50:05 [calender] which ethnic gp. has the highest % of single parent family? 21:50:25 [madalasa] african american 21:50:26 [kiranadi] african americans 21:50:28 [Brams] Afro american 21:50:28 [Roxanita] Joint probability would be just a multiply: 10% x 50% = 5% 21:50:34 [ash] previous attempt for suicide is the most imp. factor 21:50:47 [hutals] previous attempt is my guess too 21:50:49 [Brams] yep.. 21:50:57 [calender] African American( 62%),Hispanic( 33%),Caucassian( 21%) 21:50:59 [madalasa] previous attempt 21:51:14 [Brams] should we remember these numbers??? 21:51:17 [ash] paranoia is associated with what drug intoxication? 21:51:28 [Step_1] real question so no answer, but previous attempt was an option aside from the other 7 or so options. That was my pick. 21:51:37 [madalasa] amphetamine 21:51:51 [ash] right and also cocaine 21:51:52 [Roxanita] ABout the STD, what is the most common disease in Males and what is in females? 21:51:54 [madalasa] and cocaine too 21:52:00 [Step_1] cocaine 21:52:09 [madalasa] Gonorrhoea 21:52:11 [Roxanita] ok thank step 1 21:52:19 [madalasa] in males 21:52:21 [ash] flu like symptoms are by which drug withdrawal? 21:52:23 [kiranadi] in males gonorrhea and females chlamydia 21:52:39 [Step_1] femals is chlamidia and males is ghonorrhea 21:52:47 [madalasa] females Chlamydia 21:52:59 [calender] which abuse is mandatory reportable....child,spouse or elder? 21:53:05 [Step_1] sorry for spelling errors...i get excited and try to type too fast 21:53:08 [madalasa] Opiates for ash 21:53:18 [Step_1] child and elder 21:53:19 [kiranadi] child and elder 21:53:28 [ash] transvestite will prefer what gender as a sexual partner? 21:53:29 [madalasa] child and elder 21:53:29 [calender] yep 21:53:35 [hutals] agree child and elder 21:53:54 [Brams] correct.. 21:53:54 [madalasa] female ash 21:54:04 [ash] right 21:54:10 [kiranadi] same gender 21:54:16 [calender] same sex 21:54:22 [kiranadi] sorry i'm werong 21:54:31 [Step_1] great question calendar....the children and elderly are assumed to not be able to take care of selves so we must help report. but spouses are considered independent and can report for themselves 21:54:32 [Roxanita] I made a silly mnemonic ......after a couple have sex usually men are GONe---> GONORRHEA and the women CLAiM for the men to stay with her---> CHLAMYDIA 21:54:49 [ash] a pt. who had a painful bee sting is now afraid of flies and birds this is an example of? 21:55:02 [kiranadi] opp gender 21:55:03 [Brams] Great Roxanita..Thanks!! 21:55:13 [kiranadi] this answer is for ash 21:55:18 [ash] funny roxanita 21:55:23 [Step_1] good one Rox.....believe it or not, but those stick when it comes to test time 21:55:30 [madalasa] Lol 21:55:56 jiveturkey enters this room 21:56:04 [Roxanita] I was embarrased to share that one but it might help 21:56:09 [kiranadi] GOOD ONE!!! 21:56:28 [madalasa] its really niceRoxanita 21:56:43 [Step_1] that was great rox....the embarrassing ones turn out to be the best ones 21:56:52 [calender] children of divorced couple has more behav. prob. ..so is it imp. to stay married bec. of them? 21:56:59 [Roxanita] the transvesti will prefer a female 21:57:04 [Brams] As step_1 said as long as we can remember..nothing matters..right??? 21:57:09 [Roxanita] or not? 21:57:26 [hutals] i agree, anything that helps 21:57:32 [ash] transvestites are men who dress up as women and prefer women as their sexual partners 21:57:42 [kiranadi] i go with roxanita...transveite prefer females if they are males 21:57:49 [madalasa] ash whats ans 21:57:57 [ash] yeah roxanita dont be embarassed 21:58:15 [Roxanita] no way. children from abusive parents result worse than from divorce parents 21:58:15 [kiranadi] i've a doubt!!!! 21:58:24 [jiveturkey] is this on the test? 21:58:32 [madalasa] shoooooooooot 21:58:41 [ash] it is an example of stimulus generalization 21:58:44 [kiranadi] cant females be transvesites??????????/ 21:58:55 [calender] rt. Rox 21:58:56 [madalasa] Thx ash' 21:59:00 [hutals] i cant find the question 21:59:00 [jiveturkey] gotcha 21:59:08 [kiranadi] i think its an idoitic question 21:59:13 [Brams] Are they really ??? 21:59:24 [madalasa] I guess yes 21:59:30 [madalasa] ???? 21:59:31 [kiranadi] but just got it while answering the question 21:59:31 [calender] What is the rate of Breast CA in Lesbians in compare to Hetero? 21:59:35 [hutals] there are no idiotic questions....the more you know, the better you will do 21:59:37 [Brams] okie then next question.. 21:59:57 [ash] higher if they are not pregnant in their life 22:00:09 [Roxanita] Biological: male ; gender ID : female prefer Sx artner: Male, what is that? 22:00:50 [madalasa] Trassexual Gender identity probelm 22:00:50 [ash] kiranadi it is given in k a p l a n .i am not making up stories 22:00:53 [Roxanita] you got me Kiran, i have no idea about that one 22:01:10 [calender] family first 22:01:15 [hutals] transexual 22:01:26 [ash] read human sexuality chapter.if you have some other sourse do let me know 22:01:29 [Roxanita] right 22:01:52 [kiranadi] hey i was talking about the transvesite question 22:02:14 [ash] so am i 22:02:22 [Roxanita] Homosexualilty it's only an issue of partner preference 22:02:26 [hutals] ash, these are very relevant questions dealing with human sexuality chapter 22:02:32 [kiranadi] i cant understand what you all atlking about? 22:02:33 [calender] behav. sc. is different here in lots of ways 22:03:04 [jiveturkey] i believe there was a study in JAMA about breast ca in women without children/with children. 22:03:08 [kiranadi] please help me know what u r talking about? 22:03:38 [Roxanita] Nothing Kiran, people got messed up. keep going 22:03:43 shamim enters this room 22:03:45 [kiranadi] ok 22:03:46 [ash] kiranadi didnt you say that the transvestite queation was stupid because you think that females can also be transvestites? 22:03:49 [Brams] Thats right please amke us clear..Thanks 22:03:57 [calender] Breast CA is 8 times higher in Lesbians bec. of late child bearing age 22:04:11 [Roxanita] Is everybody cool? 22:04:32 [calender] I am 22:04:43 [kiranadi] no i said that my doubt was a stupid one? 22:04:56 [Roxanita] same as with professional females 22:04:58 [ash] i replied that in k a p l a n (human sexuality )they have given that a transvestite is a male dressed as a female. 22:05:06 [hutals] if you get a question on this, it will have a pt where they will put the biological ID, gender ID, and preferred partner in the stem and ask if its hetero, homo, transvestite, transexual....anyone have any doubts about that? 22:05:19 [ash] thats ok i am clearing it 22:05:21 [kiranadi] sorry for the misunderstanding 22:05:28 [Roxanita] actually I got a question like that 22:05:34 [jiveturkey] if I remember, hormonal changes were at least correlated with outcomes (Calendar). 22:05:40 [Roxanita] no problem everybody is cool 22:05:46 [ash] yeah 22:05:48 [calender] yep 22:05:49 [kiranadi] ok 22:06:14 [ash] sorry i blew up 22:06:28 [Step_1] sometimes chats can be misinterpretted because we can't see expressions.....but we 22:06:29 [ash] 22:06:40 [Step_1] we're all ok now...right? 22:06:45 [Roxanita] Only men have refractory period? True or false? 22:06:54 [kiranadi] i'm absolutely ok 22:07:05 [ash] right 22:07:13 [Brams] Me too.. 22:07:13 [Step_1] excellent 22:07:22 [ash] true? 22:07:25 [jiveturkey] F 22:07:46 [hutals] true is my guess 22:07:54 [Roxanita] Completely TRUE. Sorry guys 22:07:55 [calender] what is the basic difference between High Socio Economic Status and LowSES 22:08:24 [Step_1] occupation 22:08:36 [ash] low socioeconomic status has low education and occupation 22:08:45 [jiveturkey] how people were raised 22:08:50 [Roxanita] Occupation right 22:08:51 [calender] rt....Education and Occupation 22:09:02 [kiranadi] occupation 22:09:15 [hutals] lol rox 22:09:36 [ash] if a stimulus is removed and behaviour continues it is ? 22:09:41 [calender] which have higher divorce rate.....marriage based on Money OR based on Love 22:09:54 [ash] love 22:10:07 [kiranadi] love i guess 22:10:08 [Roxanita] LOVE!!! 22:10:09 [ash] sad 22:10:11 [jiveturkey] im going$$$$$$$ 22:10:16 [calender] YEP 22:10:37 [calender] based on Love have higher divorce rate 22:10:55 [calender] why? 22:10:58 [jiveturkey] 2 for 2 22:11:04 [ash] if a stimulus is removed and behaviour continues it is what reenforcement? 22:11:19 [Step_1] ouch.....I have no money, so i was counting on love 22:11:38 [jiveturkey] negative 22:11:38 [Roxanita] lol 22:11:48 [calender] great 22:12:09 [ash] dont worry step_1 i have a love marriage and it is working alright 22:12:37 [ash] right it is negative reenforcement 22:12:46 [Step_1] thats great ash 22:13:03 [ash] what if a stimulus is added and the behaviour stops? 22:13:10 [Roxanita] Rush hours in the buses.... 22:13:13 [ash] 22:13:26 [jiveturkey] punishment 22:13:32 [Roxanita] think about frotteurism 22:13:52 [ash] oh yeah.yucky 22:14:02 [Step_1] us that pos?? 22:14:06 [ash] punishment is right 22:14:49 [Step_1] so then pos is when stim added then response increases....is that correct? 22:15:18 [Brams] Could some one explain with an example please?? 22:15:20 [ash] when there is contingency on time and schedule is changing what schedule? 22:15:29 [calender] chances of commiting succide in pt. who discharged from mental hospital( in compare to general population)? 22:15:44 [ash] yes step_1 22:15:56 [ash] high calender 22:15:58 [jiveturkey] reenforcement /neg or pos is to get someone to continue their actions 22:16:16 [jiveturkey] punishment is get someone to stop an action 22:16:17 [Roxanita] is 30 times I guess 22:16:22 [calender] rt ash...34 times /TO ash 22:16:40 [ash] hey guys do we need to know the numbers? 22:16:54 [ash] that scares me 22:17:16 [calender] yes.if they say....alcoholics...depression 22:17:17 [Step_1] pos reinforce is like getting your allowance for cleaning your room. pos stim is allowance, response is cleaning room. neg reinforcement is if you get punished for not cleaning room..... 22:17:21 [Roxanita] Oops 34 22:17:28 [calender] ec. in both chances are same ( 15%) 22:17:55 [Step_1] scratch the neg reinforcement example....that would be punishment example 22:17:56 [Brams] Thanks a Lott!! Step1 22:18:01 [Roxanita] I don't think we need to know the numbers, the exam is not like that 22:18:18 [ash] thanx roxanita 22:18:20 [calender] and.....schizophrenics are more succidal or alcoholics? 22:18:27 [ash] i was sweating 22:18:39 [ash] alcoholics 22:18:51 [Brams] alcoholics 22:18:51 [kiranadi] schizophrenics 22:18:55 [Step_1] neg reinforcement is if child learns that he can stop his parents nagging by cleaning up his room. 22:19:00 [calender] but if you know no....then you can compare and eliminate???? 22:19:07 [Roxanita] schizophrenics 22:19:25 [calender] alcoholics( 15%)..and schizo( 10%) 22:19:38 [Roxanita] Oops again 22:19:45 [kiranadi] oops!!! 22:20:00 [calender] may be thats why we need to know no. too 22:20:09 [calender] 22:20:14 [jiveturkey] hasta 22:20:40 [Brams] wut i shasta jiveturkey?? 22:21:13 [jiveturkey] the way i say bye ... hasta lavista 22:21:18 [ash] systematic desensitization,exposure and aversive conditioning are based on? 22:21:30 [Step_1] what has highest rates of response and greatest resistance to extinction? fixed interval schedule, fixed ratio scedule, variable interval schedule or variable ratio schedules? 22:21:40 [kiranadi] ok guys i need to leave now 22:21:40 jiveturkey exits from this room 22:21:45 [ash] what language is that? 22:22:06 [kiranadi] bye 22:22:10 [Brams] hasta lavista..Thanks Grascia 22:22:17 [calender] maybe German 22:22:23 [Step_1] ok kiranadi, thanks for chatting. see you next chat 22:22:33 [ash] variable ratio schedule 22:22:42 [Roxanita] maybe for next session we should set most importants chapters so we would finish the with no problem 22:22:43 [calender] Grascia.Spanish 22:22:48 [hutals] variable ratio 22:22:56 [kiranadi] bye roxanita,ash step 1,hutuals,and all others 22:23:13 [kiranadi] good nite evrybody 22:23:15 [Roxanita] bye Kiran, see you next chat 22:23:17 [calender] bye kirandi 22:23:20 [Brams] Oops I thought it is spanish..: ( 22:23:30 [ash] even if we didnt discuss everything atleast we managed to read for it 22:23:41 [Step_1] yes, we just need to touch the timportant points of each subject 22:23:42 [Brams] Thats correct.. 22:23:46 [ash] bye kiranadi 22:24:11 [Step_1] exactly, the learning comes from the preparation and reinforcement comes from the chats 22:24:24 [ash] hehehe 22:24:33 [hutals] nite kirandi 22:24:34 [ash] good correlation 22:24:41 [Brams] Good example..: ) 22:25:24 [ash] ok people i gotta go too.it was a good chat see you in 3 days 22:25:29 [Step_1] yes, very good, the ans was variable ratio. an example is a gambler who wins very seldomly, but its variable so the next one could be the big one. 22:25:34 [Roxanita] This is our first chat, we will get better and better every new session 22:25:37 [calender] ok guys .time to go now..nice chatting with you all 22:25:59 [ash] bye all 22:26:12 [Step_1] you want to end it soon rox now that everyone knows what to expect for next time? 22:26:20 [hutals] nite ash 22:26:24 [Roxanita] I will post all the questions I got from the 2 formats of NBME, let's try to discuss them please since they have no answers 22:26:33 [hutals] nite calendar 22:27:03 [calender] goodnight 22:27:08 [Roxanita] I think we can stop here 22:27:08 [Step_1] i didnt see your other questions until late last time, but I will try to contribute 22:27:09 [ash] now roxanita? 22:27:18 [Step_1] good night calendar....tanks for chat 22:27:23 [ash] ok goodnite 22:27:30 [Brams] Bye calender, ash 22:27:48 [Brams] okie Rixanita, step1 are we leaving now?? 22:28:03 [Roxanita] Next friday we will try to cover the rest 22:28:10 [Roxanita] Is that ok Step 1? 22:28:15 [Brams] Yes, all questions we can discuss in teh forum I guess.. 22:28:41 [Step_1] thanks everyone for great chat. especially rox for setting up the new schedule. see everyone in the forum for other questions and on friday at 8 sharp for next chat 22:29:11 [Brams] Good night friends..Thanks for everything Bye!! 22:29:14 [sriramv] good nite to all,thanx rox 22:29:17 [Step_1] rox, you did an excellent job guiding us through this first chat.....great job!!! 22:29:35 [Roxanita] Sharp in time... with only 10 min of Confidence Interval 22:29:40 neelu enters this room 22:29:41 [hutals] thanks everyone and good nite 22:30:04 [Roxanita] me no way. This chats help me to keep on track and finish my review of subjects 22:30:18 [Roxanita] Thanks everybody for joining this chat 22:30:38 [Step_1] rox, will you be posting the transcript? 22:30:42 [Roxanita] THANKS STEP 1, God bless you for being so helpful with us. 22:30:43 [NicoToscani] hopefully, il be a little more active next time. thanks a lot everyone 22:30:51 [Roxanita] I don't know how, could you do that 22:31:12 [Step_1] sure, no prob, i'll take care of it 22:31:36 [Step_1] nico, it will come in time and then you'll be teaching us all 22:31:44 [Roxanita] ok guys, time to have dinner. See you all on friday. Please check the questions. 22:32:00 [Step_1] good night all 22:32:24 [Roxanita] THANKS everybody, Thanks again STEP 1 and don't worry you wont need money to have a stable marriage 22:32:32 calender enters this room 22:32:38 [Roxanita] bye. |