Weighted partial likelihood for nested case-control data
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
)
package
Package: | multipleNCC |
Type: | Package |
Version: | 1.2-1 |
Date: | 2016-04-16 |
License: | GPL-2 |
LazyLoad: | yes |
Nathalie C. Stoer
Maintainer: nathalie.c.stoer@kreftregisteret.no
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.
wpl
, coxph
, Chenprob
, GLMprob
, GAMprob
, KMprob
Useful links