JSM 2014 Home
Online Program Home
My Program

Legend: Boston Convention & Exhibition Center = CC, Westin Boston Waterfront = W, Seaport Boston Hotel = S
A * preceding a session name means that the session is an applied session.
A ! preceding a session name means that the session reflects the JSM meeting theme.

Activity Details


CE_39T Wed, 8/6/2014, 3:00 PM - 4:45 PM CC-154
Power and Sample Size Computations — Professional Development Computer Technology Workshop
ASA , SAS
Power determination and sample size computations are an important aspect of study planning and help produce studies with useful results for minimum resources. This tutorial reviews basic methodology for power and sample size computations for a number of analyses including proportion tests, t tests, confidence intervals, equivalence and noninferiority tests, survival analyses, correlation, regression, ANOVA, and more complex linear models. The tutorial illustrates these methods with numerous examples using the POWER and GLMPOWER procedures in SAS/STAT software as well as the Power and Sample Size Application. Learn how to compute power and sample size, perform sensitivity analyses for other factors such as variability and type I error rate, and produce customized tables, graphs and narratives. Special attention will be given to the newer power and sample size analysis features in SAS/STAT software for logistic regression and the Wilcoxon-Mann-Whitney (rank-sum) test. A basic understanding of power and sample size computations is assumed.
Instructor(s): John Castelloe, SAS Institute



2014 JSM Online Program Home

For information, contact jsm@amstat.org or phone (888) 231-3473.

If you have questions about the Professional Development program, please contact the Education Department.

The views expressed here are those of the individual authors and not necessarily those of the JSM sponsors, their officers, or their staff.

ASA Meetings Department  •  732 North Washington Street, Alexandria, VA 22314  •  (703) 684-1221  •  meetings@amstat.org
Copyright © American Statistical Association.