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Estimating the sample size for a t-test using an internal pilot

โœ Scribed by Jonathan S. Denne; Christopher Jennison


Publisher
John Wiley and Sons
Year
1999
Tongue
English
Weight
121 KB
Volume
18
Category
Article
ISSN
0277-6715

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โœฆ Synopsis


If the sample size for a t-test is calculated on the basis of a prior estimate of the variance then the power of the test at the treatment di!erence of interest is not robust to misspeci"cation of the variance. We propose a t-test for a two-treatment comparison based on Stein's two-stage test which involves the use of an internal pilot to estimate variance and thus the "nal sample size required. We evaluate our procedure's performance and show that it controls the type I and II error rates more closely than existing methods for the same problem. We also propose a rule for choosing the size of the internal pilot, and show that this is reasonable in terms of the e$ciency of the procedure.


๐Ÿ“œ SIMILAR VOLUMES


Exact test size and power of a Gaussian
โœ Christopher S. Coffey; Keith E. Muller ๐Ÿ“‚ Article ๐Ÿ“… 1999 ๐Ÿ› John Wiley and Sons ๐ŸŒ English โš– 123 KB ๐Ÿ‘ 1 views

Wittes and Brittain recommended using an 'internal pilot study' to adjust sample size. The approach involves five steps in testing a general linear hypothesis for a general linear univariate model, with Gaussian errors. First, specify the design, hypothesis, desired test size, power, a smallest 'cli