multipleNCC-package {multipleNCC} | R Documentation |
Weighted partial likelihood for nested case-control data
Description
Fits Cox proportional hazards models with a weigthed partial likelihood.
It handles competing risks (with one endpoint being a special situation).
It uses cases and controls from other endpoints as additional controls for
each endpoint. See wpl
for help.
Four weight estimators are implemented; Kaplan-Meier type KMprob
,
GAM (GAMprob
), GLM (GLMprob
) and local averaging
(Chenprob
)
Details
Package: | multipleNCC |
Type: | Package |
Version: | 1.2-1 |
Date: | 2016-04-16 |
License: | GPL-2 |
LazyLoad: | yes |
Author(s)
Nathalie C. Stoer
Maintainer: <nathalie.c.stoer@kreftregisteret.no>
References
Samuelsen, SO. (1997) A pseudolikelihood approach to analysis of nested case-control studies. Biometrika 84(2), 379-394
Samuelsen, SO., et al. (2007) Stratified case-cohort analysis of general cohort sampling designs. Scand J Stat 34(1), 103-119
Chen, KN. (2001) Generalized case-cohort sampling. J Roy Stat Soc Ser B 63(4), 791 - 809
Stoer NC and Samuelsen SO (2012): Comparison of estimators in nested case-control
studies with multiple outcomes. Lifetime Data Analysis, 18(3), 261-283.
See Also
wpl
, coxph
, Chenprob
, GLMprob
, GAMprob
, KMprob