README.md

In JBrettas/intercure: Cure Rate Estimators for Interval Censored Data

intercure

The intercure package provides R implementations for different cure rate models to interval censored data. The goal is to estimate the effects of each given covariate using different specifications and computing the estimated cure fraction with it. For simulation and illustrative examples, the package also provides functions to generate a dataset using one of the cure rate specification.

Two models for interval censored data are considered on this package: the bounded cumulative hazard model proposed on Liu and Shen (2009); the frailty model proposed on Lam, Wong, and Zhou (2013), with its extension to clustered data presented on Lam and Wong (2014).

Installing

devtools::install_github("JBrettas/intercure")

Functions

To fit a cure rate model:

• inter_bch ***
• inter_frailty
• inter_frailty_cl

To generate datasets:

• sim_bch
• sim_frailty
• sim_frailty_cl

*** NOTE: At the current version, there is a issue regarding the convergence of the expected likelihood in the inter_bch function. As it provides reasonable estimates of the thetas and the cure fraction, which can be checked via synthetic data, I am keeping the function available for use.

How to use

Click here for a tutorial on how to use the package.

Special thanks

My greatest thanks goes to Professor Lam, who gave me help on theorical details of the frailty model and its implementation. Also, my special thanks to Professor Shen, for all the answered doubts and for sharing the original C routine. And of course to Professor Tunes, who greatly oriented me on my master's degree.

References

Lam, Kwok Fai, and Kin Yau Wong. 2014. “Semiparametric Analysis of Clustered Interval-Censored Survival Data with a Cure Fraction.” Computational Statistics and Data Analysis 79: 165–74.

Lam, Kwok Fai, Kin Yau Wong, and Feifei Zhou. 2013. “A Semiparametric Cure Model for Interval-Censored Data.” Biometrical Journal 55 (5): 771–88.

Liu, Hao, and Yu Shen. 2009. “A Semiparametric Regression Cure Model for Interval-Censored Data.” Journal of the American Statistical Association 104 (487): 1168–78.

JBrettas/intercure documentation built on May 7, 2019, 7:39 a.m.