casebase: Fitting Flexible Smooth-in-Time Hazards and Risk Functions via Logistic and Multinomial Regression

Implements the case-base sampling approach of Hanley and Miettinen (2009) <DOI:10.2202/1557-4679.1125>, Saarela and Arjas (2015) <DOI:10.1111/sjos.12125>, and Saarela (2015) <DOI:10.1007/s10985-015-9352-x>, for fitting flexible hazard regression models to survival data with single event type or multiple competing causes via logistic and multinomial regression. From the fitted hazard function, cumulative incidence, risk functions of time, treatment and profile can be derived. This approach accommodates any log-linear hazard function of prognostic time, treatment, and covariates, and readily allows for non-proportionality. We also provide a plot method for visualizing incidence density via population time plots.

Package details

AuthorSahir Bhatnagar [aut, cre] (http://sahirbhatnagar.com/), Maxime Turgeon [aut] (http://turgeonmaxime.github.io/), Olli Saarela [aut] (http://individual.utoronto.ca/osaarela/), James Hanley [aut] (http://www.medicine.mcgill.ca/epidemiology/hanley/)
MaintainerSahir Bhatnagar <[email protected]>
LicenseMIT + file LICENSE
Version0.1.0
URL http://sahirbhatnagar.com/casebase/
Package repositoryView on CRAN
Installation Install the latest version of this package by entering the following in R:
install.packages("casebase")

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casebase documentation built on May 29, 2017, 1:40 p.m.