Using real data sets throughout, Survival Analysis in Medicine and Genetics introduces the
latest methods for analyzing high-dimensional survival data. It provides thorough coverage …

This article develops semiparametric approaches for estimation of propensity scores and
causal survival functions from prevalent survival data. The analytical problem arises when …

This paper reconsiders several results of historical and current importance to nonparametric
estimation of the survival distribution for failure in the presence of right-censored observation …

This paper proposes a new estimator for bivariate distribution functions under random
truncation and random censoring. The new method is based on a polar coordinate …

We consider the problem of fitting a heteroscedastic median regression model from left-
truncated and interval-censored data. It is demonstrated that the adapted Efron's self …

Fine and Gray [(1999),'A Proportional Hazards Model for the Subdistribution of a Competing
Risk', Journal of the American Statistical Association, 94, 496–509] considered a …

Quantile regression methods have been used to estimate upper and lower quantile
reference curves as the function of several covariates. In this article, it is demonstrated that …

This study takes up the issue of left-side truncation (LST) in strategy research. Since reliable
data on early-stage and failed firms are often unavailable for analysis, empirical findings are …

We study the problem of fitting a heteroscedastic median regression model with doubly
truncated data. A self-consistency equation is proposed to obtain an estimator. We set up a …

We study the problem of fitting a heteroscedastic median regression model from left-
truncated and right-censored data. It is demonstrated that the adapted Efron's self …