Generating Multi-State Survival Data.

genSurv

Generating Multi-State Survival Data.

Description

The genSurv software permits to generate data with one binary time-dependent covariate and data stemming from a progressive illness-death model.

Installation

If you want to use the release version of the genSurv package, you can install the package from CRAN as follows:

install.packages(pkgs="genSurv");

If you want to use the development version of the genSurv package, you can install the package from GitHub via the remotes package:

remotes::install_github(
  repo="arturstat/genSurv",
  build=TRUE,
  build_manual=TRUE
);

Authors

Artur Araújo, Luís Meira-Machado [email protected]
and Susana Faria [email protected]
Maintainer: Artur Araújo [email protected]

Funding

This research was financed by FEDER Funds through Programa Operacional Factores de Competitividade -- COMPETE and by Portuguese Funds through FCT -- Fundação para a Ciência e a Tecnologia, in the form of grants PTDC/MAT/104879/2008 and Est-C/MAT/UI0013/2011.

References

Anderson, P.K., Gill, R.D. (1982). Cox's regression model for counting processes: a large sample study. Annals of Statistics, 10(4), 1100-1120. doi:10.1214/aos/1176345976

Cox, D.R. (1972). Regression models and life tables. Journal of the Royal Statistical Society: Series B, 34(2), 187-202. doi:10.1111/j.2517-6161.1972.tb00899.x

Jackson, C. (2011). Multi-State Models for Panel Data: The msm Package for R. Journal of Statistical Software, 38(8), 1–28. doi:10.18637/jss.v038.i08

Johnson, M. E. (1987). Multivariate Statistical Simulation, John Wiley and Sons.

Johnson, N., Kotz, S. (1972). Distribution in statistics: continuous multivariate distributions, John Wiley and Sons.

Lu J., Bhattacharya G. (1990). Some new constructions of bivariate weibull models. Annals of Institute of Statistical Mathematics, 42(3), 543-559. doi:10.1007/BF00049307

Meira-Machado, L., Cadarso-Suárez, C., De Uña- Álvarez, J., Andersen, P.K. (2009). Multi-state models for the analysis of time to event data. Statistical Methods in Medical Research, 18(2), 195-222. doi:10.1177/0962280208092301

Meira-Machado L., Faria S. (2014). A simulation study comparing modeling approaches in an illness-death multi-state model. Communications in Statistics - Simulation and Computation, 43(5), 929-946. doi:10.1080/03610918.2012.718841

Meira-Machado, L., Roca-Pardiñas, J. (2011). p3state.msm: Analyzing Survival Data from an Illness-Death Model. Journal of Statistical Software, 38(3), 1-18. doi:10.18637/jss.v038.i03

Meira-Machado, L., Sestelo M. (2019). Estimation in the progressive illness-death model: a nonexhaustive review. Biometrical Journal, 61(2), 245–263. doi:10.1002/bimj.201700200

Therneau, T.M., Grambsch, P.M. (2000). Modelling survival data: Extending the Cox Model, New York: Springer.