New worst-case randomization tests yield valid p-values for sharp and bounded null hypotheses on treatment effects under potentially informative sample attrition by incorporating potential missingness indicators and allowing structural assumptions like monotone missingness.
arXiv:2407.13261 , year=
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Tutorial on a statistical roadmap and R packages for selective borrowing in hybrid controlled trials, demonstrated on synthetic lung cancer data.
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Randomization Inference with Sample Attrition
New worst-case randomization tests yield valid p-values for sharp and bounded null hypotheses on treatment effects under potentially informative sample attrition by incorporating potential missingness indicators and allowing structural assumptions like monotone missingness.
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Robust Estimation and Inference with Selective Borrowing in Hybrid Controlled Trials: A Tutorial with SelectiveIntegrative and intFRT
Tutorial on a statistical roadmap and R packages for selective borrowing in hybrid controlled trials, demonstrated on synthetic lung cancer data.