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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.
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
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| CE_37T | Wed, 8/6/2014, 1:00 PM - 2:45 PM | W-Faneuil | |
| Power and Sample-Size Analysis in Stata — Professional Development Computer Technology Workshop | |||
| ASA , Stata | |||
| This workshop covers the use of Stata to perform power and sample-size analysis. Power and sample-size analysis is a key component in designing a statistical study. It investigates the optimal allocation of study resources to increase the likelihood of the successful achievement of a study objective. How many subjects do we need in a study to achieve its research objectives? A study with too few subjects may have a low chance of detecting an important effect, and a study with too many subjects may offer very little gain and will thus waste time and resources. What are the chances of achieving the objectives of a study given available resources? Or, what is the smallest effect that can be detected in a study given available resources? This workshop will help answer all of these questions by demonstrating a number of examples of power and sample-size analysis for several statistical methods including t-test, McNemar's test, and ANOVA. It will also demonstrate how to compute power by simulation and how to take advantage of Stata's power command's automatic table and graph creation from the results of your simulation. No prior knowledge of Stata is required, but basic familiarity with power and sample-size analysis will prove useful. | |||
| Instructor(s): Yulia Marchenko, StataCorp | |||
2014 JSM Online Program Home
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