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coxrt - Cox Regression for Right Truncated Data

The coxrt package fits Cox regression based on retrospectively ascertained time-to-event data. The method uses Inverse-Probability-Weighting (IPW) estimating equations with stabilized weights as described in Vakulenko-Lagun, Mandel, and Betensky, Inverse-Probability-Weighting Methods for Cox Regression with Right Truncated Data (under revision for Biometrics, 2019).

The coxrt package provides two functions: coxph.RT that assumes positivity and coxph.RT.a0 that allows for adjustment of estimation under violation of positivity.

The coxrt package can be installed by

devtools::install_github("Bella2001/coxrt")

The examples of when and how to use coxrt package are here.

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Install

install.packages('coxrt')

Monthly Downloads

59

Version

1.0.3

License

GPL (>= 2)

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Maintainer

Bella Vakulenko-Lagun

Last Published

January 7th, 2020

Functions in coxrt (1.0.3)

coxph.RT

Fits Cox Regression Model Using Right Truncated Data
coxph.RT.a0

Fits Cox Regression with Adjustment for the Lack of Positivity
coxrt

A Package to Fit the Cox Regression from Right Truncated Data