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multipleNCC (version 1.2-4)

Weighted Cox-Regression for Nested Case-Control Data

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) .

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Version

Install

install.packages('multipleNCC')

Monthly Downloads

232

Version

1.2-4

License

GPL-2

Maintainer

Nathalie Stoer

Last Published

February 12th, 2024

Functions in multipleNCC (1.2-4)

KMprob

Sampling probabilities estimated with a Kaplan-Meier type formula
GAMprob

Sampling probabilities estimated with generalized additive models.
CVD_Accidents

Causes of death in three counties in Norway in 1974-2000
multipleNCC-package

Weighted partial likelihood for nested case-control data
pChen

Chen-weights
ModelbasedVar

Modelbased variance using Kaplan-Meier weights
PoststratVar

Modelbased variance using Chen-weights
Chenprob

Sampling probabilities estimated with local averaging.
multipleNCC-internal

Internal function
pKM

Kaplan-Meier weights
print.wpl

Print a wpl object
summary.wpl

Summary method for wpl
wpl

Weighted partial likelihood for nested case-control data
pGAM

Generlaized additive model weights
pGLM

Logistic regression weights
GLMprob

Sampling probabilities estimated with logistic regression.