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ICcalib (version 1.0.8)

Cox Model with Interval-Censored Starting Time of a Covariate

Description

Calibration and risk-set calibration methods for fitting Cox proportional hazard model when a binary covariate is measured intermittently. Methods include functions to fit calibration models from interval-censored data and modified partial likelihood for the proportional hazard model, Nevo et al. (2018+) .

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Version

Install

install.packages('ICcalib')

Monthly Downloads

196

Version

1.0.8

License

GPL (>= 2)

Maintainer

Daniel Nevo

Last Published

August 1st, 2018

Functions in ICcalib (1.0.8)

FitCalibCoxRS

Fitting Proportional Hazards Risk-Set Calibration Models with Covariates
CalcWeibullCalibP

Calculating the probabilities of positive binary exposure status at a given time point using a Weibull calibration model
FitCalibNpmle

Fitting Nonparametric Calibration Models
FitCalibWeibullRS

Fitting Weibull Risk-Set Calibration Models
CalcCoxCalibP

Calculating the probabilities of positive binary exposure status at a given time point using a proportional hazards calibration model
CalcCoxCalibRSIntsP

Calculating the probabilities of positive binary exposure status at a given time point using proportional hazards grouped risk-set calibration models
CalcNpmleCalibP

Calculating the probabilities of positive binary exposure status at a given time point using a nonparametric calibration model
CalcNpmleRSP

Calculating the probabilities of positive binary exposure status at a given time point using a nonparametric risk-set calibration models
CalcWeibullRSP

Calculating the probabilities of positive binary exposure status at a given time point using risk-set Weibull calibration models
FitCalibCox

Fitting Proportional Hazards Calibration Models with Covariates
FitCalibWeibull

Fitting Weibull Calibration Models
CalcVarParam

Variance estimation for the main proportional hazards model