genSurv

Generating Multi-State Survival Data

https://github.com/arturstat/gensurv

Science Score: 13.0%

This score indicates how likely this project is to be science-related based on various indicators:

  • CITATION.cff file
  • codemeta.json file
  • .zenodo.json file
  • DOI references
    Found 24 DOI reference(s) in README
  • Academic publication links
  • Committers with academic emails
  • Institutional organization owner
  • JOSS paper metadata
  • Scientific vocabulary similarity
    Low similarity (9.6%) to scientific vocabulary

Keywords

markov-processes multi-state-models proportional-hazards-models simulation-studies time-dependent-covariates
Last synced: 6 months ago · JSON representation

Repository

Generating Multi-State Survival Data

Basic Info
  • Host: GitHub
  • Owner: arturstat
  • License: gpl-3.0
  • Language: R
  • Default Branch: main
  • Homepage:
  • Size: 99.6 KB
Statistics
  • Stars: 0
  • Watchers: 2
  • Forks: 0
  • Open Issues: 0
  • Releases: 0
Topics
markov-processes multi-state-models proportional-hazards-models simulation-studies time-dependent-covariates
Created over 4 years ago · Last pushed about 3 years ago
Metadata Files
Readme License

README.md

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

Authors

Artur Araújo, Luís Meira-Machado lmachado@math.uminho.pt \ and Susana Faria sfaria@math.uminho.pt \ Maintainer: Artur Araújo artur.stat@gmail.com

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.

Owner

  • Name: Artur Araujo
  • Login: arturstat
  • Kind: user
  • Location: Portugal

GitHub Events

Total
  • Pull request event: 1
Last Year
  • Pull request event: 1

Committers

Last synced: over 2 years ago

All Time
  • Total Commits: 43
  • Total Committers: 1
  • Avg Commits per committer: 43.0
  • Development Distribution Score (DDS): 0.0
Past Year
  • Commits: 0
  • Committers: 0
  • Avg Commits per committer: 0.0
  • Development Distribution Score (DDS): 0.0
Top Committers
Name Email Commits
Artur Araujo a****t@g****m 43

Issues and Pull Requests

Last synced: over 1 year ago

All Time
  • Total issues: 0
  • Total pull requests: 1
  • Average time to close issues: N/A
  • Average time to close pull requests: N/A
  • Total issue authors: 0
  • Total pull request authors: 1
  • Average comments per issue: 0
  • Average comments per pull request: 1.0
  • Merged pull requests: 0
  • Bot issues: 0
  • Bot pull requests: 0
Past Year
  • Issues: 0
  • Pull requests: 1
  • Average time to close issues: N/A
  • Average time to close pull requests: N/A
  • Issue authors: 0
  • Pull request authors: 1
  • Average comments per issue: 0
  • Average comments per pull request: 1.0
  • Merged pull requests: 0
  • Bot issues: 0
  • Bot pull requests: 0
Top Authors
Issue Authors
Pull Request Authors
  • DiogoRibeiro7 (2)
Top Labels
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Packages

  • Total packages: 1
  • Total downloads:
    • cran 303 last-month
  • Total docker downloads: 21,777
  • Total dependent packages: 0
  • Total dependent repositories: 0
  • Total versions: 5
  • Total maintainers: 1
cran.r-project.org: genSurv

Generating Multi-State Survival Data

  • Versions: 5
  • Dependent Packages: 0
  • Dependent Repositories: 0
  • Downloads: 303 Last month
  • Docker Downloads: 21,777
Rankings
Forks count: 28.8%
Dependent packages count: 29.8%
Stargazers count: 35.2%
Average: 35.2%
Dependent repos count: 35.5%
Downloads: 46.6%
Maintainers (1)
Last synced: 6 months ago

Dependencies

DESCRIPTION cran
  • R >= 2.12.0 depends
  • survival * suggests