Internal pilot studies II: comparison of various procedures.

The two-stage design involves sample size recalculation using an interim variance estimate. Stein proposed the design in 1945; biostatisticians recently have shown renewed interest in it. Wittes and Brittain proposed a modification aimed at greater efficiency; Gould and Shih proposed a similar procedure, but with a different interim variance estimate based on blinded data. We compare the power of Stein's original test, an idealized version of the Wittes-Brittain test, and a theoretical optimal test which can be approximated in practice. We also compare two procedures that control the conditional type I error rate given the actual final sample size: Gould and Shih's procedure and a newly proposed 'second segment' procedure. The comparison among the first three procedures indicates that the Stein test is, unexpectedly, the test of choice under the original design alternative, whereas the approximate-optimal and Wittes-Brittain procedures appear to have superior power for detecting smaller treatment differences. As between the latter two procedures, the second segment procedure is more powerful when many observations are likely to be taken after the interim resizing, whereas otherwise the Gould-Shih procedure is superior.

[1]  C. Stein A Two-Sample Test for a Linear Hypothesis Whose Power is Independent of the Variance , 1945 .

[2]  D. Cox Some problems connected with statistical inference , 1958 .

[3]  John Robinson,et al.  Saddlepoint Approximations for Permutation Tests and Confidence Intervals , 1982 .

[4]  J. Wittes,et al.  The role of internal pilot studies in increasing the efficiency of clinical trials. , 1990, Statistics in medicine.

[5]  A. Gould,et al.  Sample size re-estimation without unblinding for normally distributed outcomes with unknown variance , 1992 .

[6]  D. Bristol Sample size determination using an interim analysis , 1993 .

[7]  E. Lehmann The Fisher, Neyman-Pearson Theories of Testing Hypotheses: One Theory or Two? , 1993 .

[8]  S. Day,et al.  Internal pilot studies for estimating sample size. , 1994, Statistics in medicine.

[9]  A. Gould Planning and revising the sample size for a trial. , 1995, Statistics in Medicine.

[10]  David M. Reboussin,et al.  Exact permutation inference for two sample repeated measures data , 1996 .

[11]  J. Erikssen,et al.  A method for determining the size of internal pilot studies. , 1996, Statistics in medicine.

[12]  W J Shih,et al.  Modifying the design of ongoing trials without unblinding. , 1998, Statistics in medicine.

[13]  C Jennison,et al.  Estimating the sample size for a t-test using an internal pilot. , 1999, Statistics in medicine.

[14]  M. Proschan,et al.  Internal pilot studies I: type I error rate of the naive t-test. , 1999, Statistics in medicine.

[15]  C. Jennison,et al.  Improving the post-experiment properties of stein's two-stage procedure , 1999 .