The Survival Kit: software to analyze survival data including possibly correlated random effects

G Mészáros, J Sölkner, V Ducrocq

Research output: Contribution to journalArticlepeer-review

Abstract

The Survival Kit is a Fortran 90 Software intended for survival analysis using proportional hazards models and their extension to frailty models with a single response time. The hazard function is described as the product of a baseline hazard function and a positive (exponential) function of possibly time-dependent fixed and random covariates. Stratified Cox, grouped data and Weibull models can be used. Random effects can be either log-gamma or normally distributed and can account for a pedigree structure. Variance parameters are estimated in a Bayesian context. It is possible to account for the correlated nature of two random effects either by specifying a known correlation coefficient or estimating it from the data. An R interface of the Survival Kit provides a user friendly way to run the software.
Original languageEnglish
Pages (from-to)503-10
Number of pages8
JournalComputer methods and programs in biomedicine
Volume110
Issue number3
DOIs
Publication statusPublished - Jun 2013

Keywords

  • Austria
  • Bayes Theorem
  • Computer Simulation
  • Humans
  • Infant
  • Infant Mortality
  • Infant, Newborn
  • Proportional Hazards Models
  • Software
  • Survival Analysis

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