Modifying the design of ongoing trials without unblinding.

Conventional group sequential designs provide an objective basis for reducing the sample size of a trial if the difference between the treatments is much more or much less than anticipated. The flexibility of group sequential designs can be enhanced by allowing the sample size to increase when the variability turns out greater than expected. This can be accomplished by examining the variability before unblinding the data at the first stage of the trial. Depending on the result of this examination, the trial may continue as planned, or the design may change in various ways, for example, by increasing the sample size or by changing the number of stages or the scheduling of the interim analyses. The effect of this adaptive flexibility on the error rates turns out as one would expect from the findings for fixed-sample designs: no material impact on the type I error rate and an effect on the power that depends on the final total sample size.

[1]  N L Geller,et al.  On the choice of times for data analysis in group sequential clinical trials. , 1991, Biometrics.

[2]  K. K. Lan,et al.  Discrete sequential boundaries for clinical trials , 1983 .

[3]  Michael A. Proschan,et al.  Effects of assumption violations on type I error rate in group sequential monitoring , 1992 .

[4]  Nancy L. Geller Discussion of ‘interim analysis: The alpha spending approach’ , 1994 .

[5]  J M Lachin,et al.  Use of spending functions for occasional or continuous monitoring of data in clinical trials. , 1993, Statistics in medicine.

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

[7]  D L DeMets,et al.  Interim analysis: the alpha spending function approach. , 1994, Statistics in medicine.

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

[9]  A L Gould,et al.  Interim analyses for monitoring clinical trials that do not materially affect the type I error rate. , 1992, Statistics in medicine.

[10]  Edward B. Fowlkes,et al.  Some Methods for Studying the Mixture of Two Normal (Lognormal) Distributions , 1979 .

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

[12]  D L DeMets,et al.  Changing frequency of interim analysis in sequential monitoring. , 1989, Biometrics.

[13]  D. Rubin,et al.  Maximum likelihood from incomplete data via the EM - algorithm plus discussions on the paper , 1977 .

[14]  Christopher Jennison,et al.  Efficient group sequential tests with unpredictable group sizes , 1987 .

[15]  A. Lawrence Gould,et al.  Group sequential methods for clinical trials allowing early acceptance of Ho and incorporating costs , 1982 .