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mhazard (version 0.1.2)

Multivariate Survival Function Estimation and Regression

Description

Estimates the survival function and Cox regression parameters for the multivariate survival setting where there are multiple (right-censored) outcome variables. The Volterra, Dabrowska, and Prentice-Cai estimates of the bivariate survival function may be computed as well as the Dabrowska estimate of the trivariate survival function. Bivariate Cox regression estimates can also be computed. Functions are also provided to compute (bootstrap) confidence intervals and plot the estimates of the bivariate survival function. For details, see "The Statistical Analysis of Multivariate Failure Time Data: A Marginal Modeling Approach", Prentice, R., Zhao, S. (2019, ISBN: 978-1-4822-5657-4), CRC Press.

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Version

Install

install.packages('mhazard')

Monthly Downloads

169

Version

0.1.2

License

GPL-3

Maintainer

Eric Bair

Last Published

August 1st, 2020

Functions in mhazard (0.1.2)

cox2

Cox regression for a bivariate outcome
genClaytonReg

Generates regression data from a bivariate Clayton-Oakes model
genClayton3

Generates survival data from a trivariate Clayton-Oakes model
KM3

Estimates the survival function for a trivariate outcome
genClayton2

Generates survival data from a bivariate Clayton-Oakes model
plotKM2.HM

Uses a heat map to visualize a bivariate survival function
cox2.LF

Bivariate regression survival function and marginal hazards estimation
KM2

Estimates the survival function for a bivariate outcome
plotKM2.3D

Uses a 3D perspective plot to visualize a bivariate survival function