mhazard v0.1.2

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Multivariate Survival Function Estimation and Regression

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.

Functions in mhazard

Name Description
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
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Details

License GPL-3
Encoding UTF-8
LazyData true
RoxygenNote 7.1.1
LinkingTo Rcpp, RcppArmadillo
NeedsCompilation yes
Packaged 2020-07-26 00:53:40 UTC; ebair
Repository CRAN
Date/Publication 2020-08-01 09:40:06 UTC

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