Implements the casebase sampling approach of Hanley and Miettinen (2009) <DOI:10.2202/15574679.1125>, Saarela and Arjas (2015) <DOI:10.1111/sjos.12125>, and Saarela (2015) <DOI:10.1007/s109850159352x>, 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 loglinear hazard function of prognostic time, treatment, and covariates, and readily allows for nonproportionality. We also provide a plot method for visualizing incidence density via population time plots.
Package details 


Author  Sahir 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/) 
Maintainer  Sahir Bhatnagar <sahir.bhatnagar@gmail.com> 
License  MIT + file LICENSE 
Version  0.1.0 
URL  http://sahirbhatnagar.com/casebase/ 
Package repository  View on CRAN 
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