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[Under the covariate x(·)\documentclass[12pt]{minimal} \usepackage{amsmath} \usepackage{wasysym} \usepackage{amsfonts} \usepackage{amssymb} \usepackage{amsbsy} \usepackage{mathrsfs} \usepackage{upgreek} \setlength{\oddsidemargin}{-69pt} \begin{document}$$x(\cdot )$$\end{document} the probability Sx(·)(t)\documentclass[12pt]{minimal} \usepackage{amsmath} \usepackage{wasysym} \usepackage{amsfonts} \usepackage{amssymb} \usepackage{amsbsy} \usepackage{mathrsfs} \usepackage{upgreek} \setlength{\oddsidemargin}{-69pt} \begin{document}$$ S_{x(\cdot )}(t)$$\end{document} characterizes for any fixed t the summing effectThe AFT, GPH, LT, frailty, and GLPH models of covariate values in the interval [0, t] on survival.]
Published: Apr 12, 2016
Keywords: Hazard Rate; Survival Function; Frailty Model; Cumulative Hazard; Accelerate Failure Time Model
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