Lee-Jen Wei

TL;DR: In this article, a new class of graphical and numerical methods for checking the adequacy of the Cox regression model is presented, derived from cumulative sums of martingale-based residuals over follow-up time and covariate values.

TL;DR: A simple C-statistic is presented which consistently estimates a conventional concordance measure which is free of censoring and results from numerical studies suggest that the new procedure performs well in finite sample.

TL;DR: In this article, the authors provide a rigorous justification of such robust procedures through modern empirical process theory and present an approach to construct simultaneous confidence bands for the mean function and describe a class of graphical and numerical techniques for checking the adequacy of the fitted mean-rate model.

TL;DR: A statistical method for detecting association of multiple rare variants in protein-coding genes with a quantitative or dichotomous trait is described, based on the regression of phenotypic values on individuals' genotype scores subject to a variable allele-frequency threshold, incorporating computational predictions of the functional effects of missense variants.

TL;DR: In this article, a correct variance-covariance estimate that takes account of the intra-group correlation is proposed, and power comparisons are performed to show the advantage of the new proposal.