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

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1 Publication describing the Software Year
survHE: Survival Analysis for Health Economic Evaluation and Cost-Effectiveness Modeling Link
Gianluca Baio