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multipleNCC  

Weighted Cox-Regression for Nested Case-Control Data
View on CRAN: Click here


Download and install multipleNCC package within the R console
Install from CRAN:
install.packages("multipleNCC")

Install from Github:
library("remotes")
install_github("cran/multipleNCC")

Install by package version:
library("remotes")
install_version("multipleNCC", "1.2-4")



Attach the package and use:
library("multipleNCC")
Maintained by
Nathalie C. Stoer
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2014-09-19
Latest Update: 2024-02-12
Description:
Fit Cox proportional hazard models with a weighted partial likelihood. It handles one or multiple endpoints, additional matching and makes it possible to reuse controls for other endpoints Stoer NC and Samuelsen SO (2016) .
How to cite:
Nathalie C. Stoer (2014). multipleNCC: Weighted Cox-Regression for Nested Case-Control Data. R package version 1.2-4, https://cran.r-project.org/web/packages/multipleNCC. Accessed 22 Dec. 2024.
Previous versions and publish date:
1.0 (2014-09-19 15:06), 1.1 (2015-07-02 13:42), 1.2-1 (2016-04-19 17:35), 1.2-2 (2020-02-12 11:30), 1.2-3 (2023-07-09 11:10), 1.2 (2015-09-27 17:09)
Other packages that cited multipleNCC R package
View multipleNCC citation profile
Other R packages that multipleNCC depends, imports, suggests or enhances
Complete documentation for multipleNCC
Functions, R codes and Examples using the multipleNCC R package
Some associated functions: CVD_Accidents . Chenprob . GAMprob . GLMprob . KMprob . ModelbasedVar . PoststratVar . multipleNCC-package . pChen . pGAM . pGLM . pKM . print.wpl . summary.wpl . wpl . 
Some associated R codes: wpl8.R . wpl9.R .  Full multipleNCC package functions and examples
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