mdbrown/partlyconditional: Partly Conditional Logistic and Cox models

This package provides functions to fit partly conditional (PC) risk models, which are a class of predictive models that utilize long-term follow-up information to predict patients' risks of a future adverse outcome with repeatedly measured predictors over time. Please see the reference Zheng YZ, Heagerty PJ (2005) <doi: 10.1111/j.1541-0420.2005.00323.x> or Maziarz M, et. al. (2017) <doi:10.1111/biom.12562> for further details.

Getting started

Package details

AuthorMarlena Maziarz, Yingye Zheng, Marshall Brown
MaintainerMarshall Brown <>
Package repositoryView on GitHub
Installation Install the latest version of this package by entering the following in R:
mdbrown/partlyconditional documentation built on May 22, 2019, 12:38 p.m.