2023
Competing risks regression for clustered survival data via the marginal additive subdistribution hazards model
Chen X, Esserman D, Li F. Competing risks regression for clustered survival data via the marginal additive subdistribution hazards model. Statistica Neerlandica 2023, 78: 281-301. DOI: 10.1111/stan.12317.Peer-Reviewed Original ResearchSandwich variance estimatorCorrelated failure time dataVariance estimatorUnknown dependency structureFailure time dataAdditive hazards modelFinite samplesEquation approachCensoring timeCorrelation structureAdditive structureDependent censoringFit testSimulation studyEvent of interestDependency structureFailure timeEstimatorSubdistribution hazardRegression coefficientsIncidence functionCumulative incidence functionSubdistribution hazard modelTime dataOverall model
2022
Simulating time-to-event data subject to competing risks and clustering: A review and synthesis
Meng C, Esserman D, Li F, Zhao Y, Blaha O, Lu W, Wang Y, Peduzzi P, Greene E. Simulating time-to-event data subject to competing risks and clustering: A review and synthesis. Statistical Methods In Medical Research 2022, 32: 305-333. PMID: 36412111, DOI: 10.1177/09622802221136067.Peer-Reviewed Original Research