casebase (0.1.0)

0 users

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) , Saarela and Arjas (2015) , and Saarela (2015) , 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.

Maintainer: Sahir Bhatnagar
Author(s): Sahir Bhatnagar [aut, cre] (, Maxime Turgeon [aut] (, Olli Saarela [aut] (, James Hanley [aut] (

License: MIT + file LICENSE

Uses: data.table, ggplot2, survival, VGAM, eha, testthat, knitr, rmarkdown

Released over 2 years ago.



  (0 votes)


  (0 votes)

Log in to vote.


No one has written a review of casebase yet. Want to be the first? Write one now.

Related packages: BMA, BayHaz, DAAG, Epi, ICE, KMsurv, LearnBayes, MCMCpack, MLEcens, NADA, NestedCohort, SMPracticals, VGAM, aster, bayesSurv, boot, clinfun, cmprsk, coin, coxphf(20 best matches, based on common tags.)

Search for casebase on google, google scholar, r-help, r-devel.

Visit casebase on R Graphical Manual.