survHE swMATH ID: 35581 Software Authors: Gianluca Baio Description: R package survHE: Survival Analysis in Health Economic Evaluation. Contains a suite of functions for survival analysis in health economics. These can be used to run survival models under a frequentist (based on maximum likelihood) or a Bayesian approach (both based on Integrated Nested Laplace Approximation or Hamiltonian Monte Carlo). The user can specify a set of parametric models using a common notation and select the preferred mode of inference. The results can also be post-processed to produce probabilistic sensitivity analysis and can be used to export the output to an Excel file (e.g. for a Markov model, as often done by modellers and practitioners). doi:10.18637/jss.v095.i14. Homepage: https://cran.r-project.org/web/packages/survHE/index.html Source Code: https://github.com/cran/survHE Dependencies: R Keywords: R; R package; jstatsoft.org; survival analysis; health economic evaluation; probabilistic sensitivity analysis; survHE Related Software: flexsurv; R; SAS; Stata; shinystan; INLA; JAGS; hesim; rms; heemod; DigitizeIt; R-INLA; BCEA; Excel; survextrap; stpm2; gamair; tidyr; loo; Stan Cited in: 0 Documents Standard Articles 1 Publication describing the Software Year survHE: Survival Analysis for Health Economic Evaluation and Cost-Effectiveness Modeling Link Gianluca Baio 2020