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README.md
In coxrt: Cox Proportional Hazards Regression for Right-Truncated Data
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.
Try the coxrt package in your browser
Any scripts or data that you put into this service are public.
coxrt documentation built on Jan. 11, 2020, 9:39 a.m.
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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.
Try the coxrt package in your browser
Any scripts or data that you put into this service are public.
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
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