Výsledky vyhledávání - "Lawless, Jerald F"

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Estimands and cumulative incidence function regression in clinical trials: some new results on interpretability and robustness

Autor: Bühler, Alexandra, Cook, Richard J, Lawless, Jerald F

Regression analyses based on transformations of cumulative incidence functions are often adopted when modeling and testing for treatment effects in clinical trial settings involving competing and semi-competing risks. Common frameworks include the Fi

Externí odkaz: http://arxiv.org/abs/2401.04863

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Improving Estimation Efficiency for Two-Phase, Outcome-Dependent Sampling Studies

Autor: Che, Menglu, Han, Peisong, Lawless, Jerald F.

Two-phase outcome dependent sampling (ODS) is widely used in many fields, especially when certain covariates are expensive and/or difficult to measure. For two-phase ODS, the conditional maximum likelihood (CML) method is very attractive because it c

Externí odkaz: http://arxiv.org/abs/2212.09817

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Multistate Models as a Framework for Estimand Specification in Clinical Trials of Complex Processes

Autor: Bühler, Alexandra, Cook, Richard J., Lawless, Jerald F.

Intensity-based multistate models provide a useful framework for characterizing disease processes, the introduction of interventions, loss to follow-up, and other complications arising in the conduct of randomized trials studying complex life history

Externí odkaz: http://arxiv.org/abs/2209.13658

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