tag:blogger.com,1999:blog-15654301.post8552717154140859122..comments2024-02-24T04:43:56.829-05:00Comments on On Biostatistics and Clinical Trials: Adjustment for multiplicityWeb blog from Dr. Denghttp://www.blogger.com/profile/11917138094035874938noreply@blogger.comBlogger3125tag:blogger.com,1999:blog-15654301.post-40812930676591323002010-03-06T17:46:03.904-05:002010-03-06T17:46:03.904-05:00A better place for posting this kind of question m...A better place for posting this kind of question may be "http://forums.stat.ucla.edu/".Anonymousnoreply@blogger.comtag:blogger.com,1999:blog-15654301.post-86974374198960894152010-03-03T19:53:03.090-05:002010-03-03T19:53:03.090-05:00Hi
How to adjust multiplicity when one is doing e...Hi<br /><br />How to adjust multiplicity when one is doing exact binomial tests on multiple endpoints. Let me explain you the whole story:<br /><br />There are two possible responses of a variable: D(detected) and ND(not detected). There are two treatment conditions, let say B(before) and A(after). There are three variables, let say Y1, Y2 and Y3.<br /><br />I want to test whether difference between percentage detected (%D) from two treatment condition(Before and After) should not be more than 5% (0.05) at 5% level of significance and with at least 80% power. For decision making, I am looking at the lower bound of one-sided 95% confidence interval. <br /><br />The issue here is the multiplicity effect from three simultaneous variables. I need sample size at 80% power to detect significant difference.<br /><br />It is kind of interesting that how should we plan the study and obtain the sample size with at least 80% power which is able to detect 5% difference between %detected from two treatments over three variables.<br /><br />If anyone feels it is confusing please let me know, I will try to explain bit more of this. We want to control FWER(Family Wise Error Rate) no more than 5%.<br /><br /><br />ThanksAnonymousnoreply@blogger.comtag:blogger.com,1999:blog-15654301.post-72023424150231616862009-11-16T09:09:56.988-05:002009-11-16T09:09:56.988-05:00This comment has been removed by a blog administrator.Anonymousnoreply@blogger.com