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Design and analysis of group sequential logrank tests in maximum duration versus information trials
K Kim1, H Boucher, A A Tsiatis
1Department of Biostatistics, Harvard School of Public Health, Boston, Massachusetts, USA.
Biometrics
|September 1, 1995
Summary
Maximum information trials simplify group sequential logrank tests by fixing information, unlike maximum duration trials. This maintains type I error and potentially shortens study durations for clinical trial monitoring.
Area of Science:
- Biostatistics
- Clinical Trial Design
- Statistical Monitoring
Background:
- Group sequential methods are crucial for monitoring clinical trials with failure time data.
- The logrank test and type I error spending functions are common tools, but require accurate information time estimation.
- Estimating information time in maximum duration trials presents challenges due to random denominators, impacting sequential boundaries.
Purpose of the Study:
- To compare maximum duration and maximum information trial designs for monitoring clinical trials.
- To investigate methods for maintaining type I error in maximum duration trials.
- To propose and evaluate a design procedure for maximum information trials.
Main Methods:
- Analysis of information time estimation under null and alternative hypotheses.
- Adjustments to group sequential boundaries in maximum duration trials.
- Numerical explorations comparing robustness of different information time estimates.
- Design procedure development for maximum information trials.
Main Results:
- Maximum information trials offer straightforward boundary computation and potential duration savings compared to maximum duration trials.
- Estimating information time in maximum duration trials requires adjustments that alter operating characteristics.
- Maximum information trials maintain type I error without altering the chosen spending function.
Conclusions:
- Maximum information trials provide a more robust and efficient approach for monitoring clinical trials with failure time data.
- The proposed design procedure for maximum information trials simplifies implementation and improves operating characteristics.
- Careful consideration of information time estimation is vital for accurate type I error control in group sequential monitoring.
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