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Using principal stratification in analysis of clinical trials.
Ilya Lipkovich1, Bohdana Ratitch2, Yongming Qu1
1Eli Lilly and Company, Indianapolis, Indiana, USA.
Principal stratification (PS) is a key strategy for handling intercurrent events in clinical trials. This tutorial clarifies PS methods, their assumptions, and practical applications in trial analysis.
Area of Science:
- Biostatistics
- Clinical Trial Methodology
- Epidemiology
Background:
- The ICH E9(R1) addendum highlights principal stratification (PS) for managing intercurrent events in clinical trials.
- Diverse methods and assumptions exist within the PS framework across various research types.
- A unified understanding of PS is crucial for clinical trialists.
Purpose of the Study:
- To provide a coherent and unifying description of principal stratification.
- To examine the assumptions underlying PS and their implications for different scenarios.
- To present key PS analysis methods with a real clinical trial example.
Main Methods:
- Unifying the description of various principal stratification approaches.
- Thorough examination of the assumptions and consequences of PS methods.
- Illustrative application of PS methods using a clinical trial case study.
Main Results:
- A clearer, unified framework for understanding principal stratification.
- Insight into the critical assumptions and their impact on effect estimation.
- Practical examples and code for implementing PS analysis.
Conclusions:
- Principal stratification is a vital, albeit assumption-heavy, strategy for clinical trial analysis.
- Understanding PS assumptions is essential for appropriate application and interpretation.
- This tutorial offers a comprehensive guide for researchers utilizing PS.
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