README.md

In FJRubio67/GHSurv: Parametric General Hazards models

GHSurv R package

The GHSurv R package can be used to calculate the maximum likelihood estimates and confidence intervals for the parametric General Hazards (GH) regression model studied in:

Rubio, F. J., Remontet, L., Jewell, N. P., & Belot, A. (2019). On a general structure for hazard-based regression models: an application to population-based cancer research. Statistical Methods in Medical Research, 28(8), 2404-2417. https://doi.org/10.1177%2F0962280218782293

This implementation allows for using the GH model in the Overall (hazard regression models) and Relative (excess hazard regression models) survival frameworks, using the commands GHMLE and GEHMLE. The GHSurv R package implements the GH model with several parametric baseline hazards, which are specified through the option hstr (Overall and Relative survival): lognormal (LNGH, LNGEH), log-logistic (LLGH,LLGEH), Gamma (GGH, GGEH), Power Generalised Weibull (PGWGH, PGWGEH) , Exponentiated Weibull (EWGH, EWGEH), and Generalised Gamma (GGGH, GGGEH) baseline hazards. Currently, only right-censoring is allowed, which is specified through the option status.

These models are fitted using the R commands nlminb and optim. Thus, the user needs to specify the initial points and to check the convergence of the optimisation step, as usual.

To install the GHSurv R package use:

library(devtools)
install_github("FJRubio67/GHSurv")

library(GHSurv)
?GHMLE
?GEHMLE

Two illustrative examples (for the Overall and Relative survival frameworks) on the use of the GHSurv R package using the Simulacrum data set (available in this repository in the file data_lung.Rda) can be found at:

1. Simulacrum data: lung cancer and Net Survival GH model

See also: LBANS, HazReg

FJRubio67/GHSurv documentation built on March 1, 2024, 5:17 a.m.