What question did this study set out to answer?

The research aims to evaluate subgroup analysis methods specifically for time-to-event outcomes in randomized controlled trials.

February 28, 2026BMC Medical Research MethodologyOpen Access

Subgroup analysis methods for time-to-event outcomes in heterogeneous randomized controlled trials

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The research aims to evaluate subgroup analysis methods specifically for time-to-event outcomes in randomized controlled trials.
Evaluated several subgroup analysis algorithms for time-to-event outcomes.
Developed a new data generation process for exploring heterogeneity scenarios.
Assessed interaction test-based methods for detecting heterogeneity.
Interaction test-based methods show better statistical power in detecting heterogeneity.
Cox-based multivariate and interaction test methods effectively identify predictive variables.
S-learners using Cox- and tree-based algorithms are effective at identifying treatment responders.

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Implication

This work evaluates subgroup analysis methods for time-to-event outcomes in heterogeneous trials, suggesting improved identification of treatment responders.

Cite This Study

Perrin et al. (2026) studied this question.

synapsesocial.com/papers/69a286370a974eb0d3c01144 https://doi.org/10.1186/s12874-026-02794-4

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Implication

This work evaluates subgroup analysis methods for time-to-event outcomes in heterogeneous trials, suggesting improved identification of treatment responders.

Subgroup analysis methods for time-to-event outcomes in heterogeneous randomized controlled trials

Key Points

Discussion

Implication

Cite This Study

Subgroup analysis methods for time-to-event outcomes in heterogeneous randomized controlled trials

Key Points

Discussion

Implication

Cite This Study

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