On Tue, 8 Apr 2008, Yuelin Li wrote: > I remember reading about post hoc statistical power on R-help. But I > can't seem to find them with RSiteSearch("post hoc statistical power") > and variations of it. > > I would like to learn more about post hoc statistical power, its > meaningfulness, advantages and disadvantages. I thought the issue was > settled after Tukey's 1993 paper about post hoc statistical power > being "essentially meaningless once the experiment has been done". > But they seem to be used, and sometimes encouraged > (e.g., http://www.informaworld.com/smpp/content~content=a787469931). > > I do not intend to start a debate. I simply would like to learn > more. Can anyone suggest a few articles? Thanks,
Start here: Hoenig, John M. and Heisey, Dennis M. (2001) The abuse of power: The pervasive fallacy of power calculations for data analysis The American Statistician, 55, 19-24 Keywords: bioequivalence testing; BURDEN OF PROOF; OBSERVED POWER; RETROSPECTIVE POWER ANALYSIS; statistical power; Type II error CISid: 222509 HTH, Chuck > > Yuelin. > > Tukey JW. Tightening the clinical trial. Control Clin Trials. 1993;14:266-285. > > > ===================================================================== > > Please note that this e-mail and any files transmitted with it may be > privileged, confidential, and protected from disclosure under > applicable law. If the reader of this message is not the intended > recipient, or an employee or agent responsible for delivering this > message to the intended recipient, you are hereby notified that any > reading, dissemination, distribution, copying, or other use of this > communication or any of its attachments is strictly prohibited. If > you have received this communication in error, please notify the > sender immediately by replying to this message and deleting this > message, any attachments, and all copies and backups from your > computer. > > ______________________________________________ > R-help@r-project.org mailing list > https://stat.ethz.ch/mailman/listinfo/r-help > PLEASE do read the posting guide http://www.R-project.org/posting-guide.html > and provide commented, minimal, self-contained, reproducible code. > Charles C. Berry (858) 534-2098 Dept of Family/Preventive Medicine E mailto:[EMAIL PROTECTED] UC San Diego http://famprevmed.ucsd.edu/faculty/cberry/ La Jolla, San Diego 92093-0901 ______________________________________________ R-help@r-project.org mailing list https://stat.ethz.ch/mailman/listinfo/r-help PLEASE do read the posting guide http://www.R-project.org/posting-guide.html and provide commented, minimal, self-contained, reproducible code.