genSurv-package: Generating Multi-State Survival Data
In genSurv: Generating Multi-State Survival Data
Description
Details
Author(s)
References
Description
The genSurv software permits to generate data with one binary time-dependent covariate and data stemming from a progressive illness-death model.
Details
Package: genSurv
Type: Package
Version: 1.0.4
Date: 2021-10-19
License: GPL-3
LazyLoad: yes
Author(s)
Artur Araújo, Luís Meira-Machado lmachado@math.uminho.pt
and Susana Faria sfaria@math.uminho.pt
Maintainer: Artur Araújo artur.stat@gmail.com
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.
genSurv documentation built on Oct. 20, 2021, 1:07 a.m.
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Description Details Author(s) References
Description
The genSurv software permits to generate data with one binary time-dependent covariate and data stemming from a progressive illness-death model.
Details
| Package: | genSurv |
| Type: | Package |
| Version: | 1.0.4 |
| Date: | 2021-10-19 |
| License: | GPL-3 |
| LazyLoad: | yes |
Author(s)
Artur Araújo, Luís Meira-Machado lmachado@math.uminho.pt
and Susana Faria sfaria@math.uminho.pt
Maintainer: Artur Araújo artur.stat@gmail.com
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.
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