Analyzing safety data for two-stage randomization designs

Ensuring patient safety is paramount in the development of new pharmaceutical products, which, while beneficial, can also pose potential risks. Traditional methods for analyzing safety data have been limited to single-stage randomization clinical trials. However, no existing methodology addresses the complexities of two-stage randomization designs with survival endpoints. This paper introduces a novel methodology utilizing inverse probability weights to analyze safety data in two-stage randomization designs. Our approach is applied to data from a leukemia clinical trial, the use of the weighted Aalen-Johansen estimator is recommended while the use of the weighted Kaplan-Meier is discouraged. This advancement provides a crucial tool for enhancing patient safety in complex clinical trial designs.

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Publication Details

Journal
Frontiers in Applied Mathematics and Statistics
Published
2025-03-17
DOI
https://doi.org/10.3389/fams.2025.1519056
Citations
1
Primary Topic
Statistical Methods in Clinical Trials
Type
article
Field-Weighted Citation Impact
2.63
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article

Analyzing safety data for two-stage randomization designs

Giuliana Cortese, Sifiso Vilakati
1 citations
Frontiers in Applied Mathematics and Statistics
Statistical Methods in Clinical Trials
2.63
article

Analyzing safety data for two-stage randomization designs

Giuliana Cortese, Sifiso Vilakati
article en
1 citations

Abstract

Ensuring patient safety is paramount in the development of new pharmaceutical products, which, while beneficial, can also pose potential risks. Traditional methods for analyzing safety data have been limited to single-stage randomization clinical trials. However, no existing methodology addresses the complexities of two-stage randomization designs with survival endpoints. This paper introduces a novel methodology utilizing inverse probability weights to analyze safety data in two-stage randomization designs. Our approach is applied to data from a leukemia clinical trial, the use of the weighted Aalen-Johansen estimator is recommended while the use of the weighted Kaplan-Meier is discouraged. This advancement provides a crucial tool for enhancing patient safety in complex clinical trial designs.

Frontiers in Applied Mathematics and StatisticsVol. 11
University of Padua (IT), University of the Free State (ZA)
Openalex Percentile: Top 14%
Statistical Methods in Clinical Trials
2.63
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