Modeling and analysis of data with confounding covariates and crossing of the hazard functions

Vilijandas Bagdonavičius, Mohamed Ali Hafdi and Rūta Levulienė

Communications in Statistics - Theory and Methods, 2021, vol. 50, issue 22, 5262-5284

Abstract: Parametric models for analysis of survival data with possible crossing of hazard rates related with two treatment groups are introduced. Strategy for survival improvement through application of time-varying treatment is discussed. Complete and right-censored data with possible confounding covariates are considered. Estimators of the crossing points are given. Chi-square type goodness-of-fit tests for the considered models are given. Parametric tests for the absence of crossing of survival functions (and also for crossing of the hazard functions) hypothesis are proposed.

Date: 2021
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DOI: 10.1080/03610926.2020.1728330

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