The R Journal: article published in 2018, volume 10:1

cchs: An R Package for Stratified Case-Cohort Studies
Edmund Jones , The R Journal (2018) 10:1, pages 484-494.

Abstract The cchs package contains a function, also called cchs, for analyzing data from a stratified case-cohort study, as used in epidemiology. For data from this type of study, cchs calculates Estimator III of Borgan et al. (2000), which is a score-unbiased estimator for the regression coefficients in the Cox proportional hazards model. From the user’s point of view, the function is similar to coxph (in the survival package) and other widely used model-fitting functions. Convenient software has not previously been available for Estimator III since it is complicated to calculate. SAS and S-Plus code-fragments for the calculation have been published, but cchs is easier to use and more efficient in terms of time and memory, and can cope with much larger datasets. It also avoids several minor approximations and simplifications.

Received: 2017-12-28; online 2018-05-16, supplementary material, (1.3 KiB)
CRAN packages: cchs, survival, cchs, survival, survey, NestedCohort
CRAN Task Views implied by cited CRAN packages: Survival, SocialSciences, ClinicalTrials, Econometrics, OfficialStatistics

This article and supplementary materials are licensed under a Creative Commons Attribution 4.0 International license.

@article{RJ-2018-012,
  author = {Edmund Jones},
  title = {{cchs: An R Package for Stratified Case-Cohort Studies}},
  year = {2018},
  journal = {{The R Journal}},
  doi = {10.32614/RJ-2018-012},
  url = {https://doi.org/10.32614/RJ-2018-012},
  pages = {484--494},
  volume = {10},
  number = {1}
}