Semiparametric marginal regression for clustered competing risks data with missing cause of failure.

The bias for \documentclass[12pt]{minimal} \usepackage{amsmath} \usepackage{wasysym} \usepackage{amsfonts} \usepackage{amssymb} \usepackage{amsbsy} \usepackage{upgreek} \usepackage{mathrsfs} \setlength{\oddsidemargin}{-69pt} \begin{document} }{}$\beta_{1}$\end{document} was relatively small under Scenario 1, with an increasing trend as the number of clusters increased.

also in 63,971 other papers