survHE-package: survHE: Survival Analysis in Health Economic Evaluation

In survHE: Survival Analysis in Health Economic Evaluation

survHE: Survival Analysis in Health Economic Evaluation

Description

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). To run the Bayesian models, the user needs to install additional modules (packages), i.e. 'survHEinla' and 'survHEhmc'. These can be installed using 'remotes::install_github' from their GitHub repositories: (https://github.com/giabaio/survHEhmc and https://github.com/giabaio/survHEinla/ respectively). 'survHEinla' is based on the package INLA, which is available for download at https://inla.r-inla-download.org/R/stable/. 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). \Sexpr[results=rd]{tools:::Rd_expr_doi("10.18637/jss.v095.i14")}.

Author(s)

Maintainer: Gianluca Baio [e-mail]

Other contributors:

• Andrea Berardi [e-mail] [contributor]

• Philip Cooney [e-mail] [contributor]

• Andrew Jones [e-mail] [contributor]

• Nathan Green [e-mail] [contributor]

See Also

Useful links:

• https://github.com/giabaio/survHE

• https://gianluca.statistica.it/software/survhe/

• Report bugs at https://github.com/giabaio/survHE/issues

survHE documentation built on Oct. 4, 2024, 5:10 p.m.