Weighted Cox-Regression for Nested Case-Control Data
Sampling probabilities estimated with local averaging.
Sampling probabilities estimated with generalized additive models.
Sampling probabilities estimated with logistic regression.
Sampling probabilities estimated with a Kaplan-Meier type formula
Modelbased variance using Kaplan-Meier weights
Internal function
Weighted partial likelihood for nested case-control data
Chen-weights
Generlaized additive model weights
Logistic regression weights
Kaplan-Meier weights
Modelbased variance using Chen-weights
Print a wpl object
Summary method for wpl
Weighted partial likelihood for nested case-control data
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) <doi:10.32614/rj-2016-030>.