Frailty proportional mean residual life regression for clustered survival data: A hierarchical quasi-likelihood method.
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DOI: 10.1002/sim.8338
Abstract: Frailty models are widely used to model clustered survival data arising in multicenter clinical studies. In the literature, most existing frailty models are proportional hazards, additive hazards, or accelerated failure time model based. In this… read more here.
Keywords: likelihood; survival data; clustered survival; frailty ... See more keywords
A flexible approach for causal inference with multiple treatments and clustered survival outcomes
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DOI: 10.1002/sim.9548
Abstract: When drawing causal inferences about the effects of multiple treatments on clustered survival outcomes using observational data, we need to address implications of the multilevel data structure, multiple treatments, censoring, and unmeasured confounding for causal… read more here.
Keywords: causal inference; treatments clustered; causal; multiple treatments ... See more keywords
Profile likelihood approaches for semiparametric copula and frailty models for clustered survival data
Sign Up to like & getrecommendations! Published in 2019 at "Journal of Applied Statistics"
DOI: 10.1080/02664763.2019.1601688
Abstract: ABSTRACT In clustered survival data, the dependence among individual survival times within a cluster has usually been described using copula models and frailty models. In this paper we propose a profile likelihood approach for semiparametric… read more here.
Keywords: profile likelihood; survival data; frailty models; semiparametric copula ... See more keywords