What question did this study set out to answer?

The study aims to develop a method for estimating sample sizes for the log-rank statistic considering clinical trial complexities.

March 1, 1988Biometrics

Sample Sizes Based on the Log-Rank Statistic in Complex Clinical Trials

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Randomized trial estimates sample sizes for survival comparisons in complex clinical trials, suggesting improved accuracy in design.

The study aims to develop a method for estimating sample sizes for the log-rank statistic considering clinical trial complexities.
Introduced a sample size estimation method for log-rank tests under conditions like noncompliance and lag times.
Designed for stratified trials where conditions may vary across groups without assuming proportional hazards.
Calculated power, duration, and sample sizes for survival curve comparisons.
New method allows for accurate sample size estimates even with high noncompliance rates.
Estimates for power and duration were successfully derived alongside sample sizes.
Applicable to binomial proportions and Tarone-Ware statistics with varying strata conditions.

Edward Lakatos (1988) studied this question.

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