Estimating the causal effects in randomized trials for survival data with a cure fraction and non compliance
Sign Up to like & getrecommendations! Published in 2017 at "Communications in Statistics - Theory and Methods"
DOI: 10.1080/03610926.2015.1076481
Abstract: ABSTRACT We consider causal inference in randomized studies for survival data with a cure fraction and all-or-none treatment non compliance. To describe the causal effects, we consider the complier average causal effect (CACE) and the… read more here.
Keywords: non compliance; cure fraction; compliance; survival data ... See more keywords
Classical and Bayesian inference approaches for the exponentiated discrete Weibull model with censored data and a cure fraction
Sign Up to like & getrecommendations! Published in 2021 at "Pakistan Journal of Statistics and Operation Research"
DOI: 10.18187/pjsor.v17i2.3693
Abstract: In this paper, we introduce maximum likelihood and Bayesian parameter estimation for the exponentiated discrete Weibull (EDW) distribution in the presence of randomly right-censored data. We also consider the inclusion of a cure fraction in… read more here.
Keywords: censored data; exponentiated discrete; model; discrete weibull ... See more keywords