BCEA - Bayesian Cost Effectiveness Analysis
Produces an economic evaluation of a sample of suitable variables of cost and effectiveness / utility for two or more interventions, e.g. from a Bayesian model in the form of MCMC simulations. This package computes the most cost-effective alternative and produces graphical summaries and probabilistic sensitivity analysis, see Baio et al (2017) <doi:10.1007/978-3-319-55718-2>.
Last updated 1 months ago
bayesian-data-analysiscost-effectivenesshealth-economic-evaluation
10.18 score 42 stars 3 dependents 281 scripts 687 downloads
BCEA - Bayesian Cost Effectiveness Analysis
Produces an economic evaluation of a sample of suitable variables of cost and effectiveness / utility for two or more interventions, e.g. from a Bayesian model in the form of MCMC simulations. This package computes the most cost-effective alternative and produces graphical summaries and probabilistic sensitivity analysis, see Baio et al (2017) <doi:10.1007/978-3-319-55718-2>.
Last updated 2 months ago
bayesiancost-effectiveness
9.90 score 3 stars 3 dependents 243 scripts 750 downloadsbib2df - Parse a BibTeX File to a Data Frame
Parse a BibTeX file to a data.frame to make it accessible for further analysis and visualization.
Last updated 8 months ago
bibtexpeer-reviewed
9.82 score 101 stars 6 dependents 212 scripts 1.3k downloadssurvHE - 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). 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). <doi:10.18637/jss.v095.i14>.
Last updated 26 days ago
frequentisthamiltonian-monte-carlohealth-economic-evaluationinlaplotting-survival-curvesrstansurvival-analysissurvival-modelsuncertaintyopenjdk
6.88 score 42 stars 2 dependents 759 downloadsbmhe - This Package Creates a Set of Functions Useful for Bayesian modelling
A set of utility functions that can be used to post-process BUGS or JAGS objects as well as other to facilitate various Bayesian modelling activities (including in HTA).
Last updated 28 days ago
bayesian-statisticsbugscost-effectiveness-analysisjagstidyverse
3.00 score 2 stars 7 scriptssurvHEhmc - Survival Analysis in Health Economic Evaluation using Hamiltonian Monte Carlo
A module to complement the backbone structure of the package 'survHE' and expand its functionality to run survival models under a Bayesian approach (based on Hamiltonian Monte Carlo). <doi:10.18637/jss.v095.i14>.
Last updated 30 days ago
hamiltonian-monte-carlohealth-economic-evaluationsrstansurvival-analysisuncertaintycppopenjdk
3.00 score 5 stars 1 scriptssurvHEinla - Survival Analysis in Health Economic Evaluation using INLA
A module to complement the backbone structure of the package survHE and expand its functionality to run survival models under a Bayesian approach (based on Integrated Nested Laplace Approximation; the underlying 'INLA' package is available for download at <https://inla.r-inla-download.org/R/stable/>). <doi:10.18637/jss.v095.i14>.
Last updated 30 days ago
bayesian-inferencecost-effectiveness-analysishealth-economic-evaluationintegrated-nested-laplace-approximationsurvival-analysisuncertaintyopenjdk
2.65 score 3 starsSWSamp - Computes Sample Size for a Stepped Wedge Design, using Simulation-Based Calculations
Provides a suite of functions for the sample size calculations and power analysis in a Stepped Wedge Trial. Contains functions for closed-form sample size calculation (based on a set of specific models) and simulation-based procedures that can extend the basic framework.
Last updated 2 years ago
2.40 score 5 stars 2 scriptsBCEAweb - BCEA web app
Bayesian Cost Effectiveness Analysis (BCEA) web app using Shiny
Last updated 1 months ago
bayesiancost-effectiveness-analysisshiny-appsvalue-of-informationwebapp
2.00 score 1 stars 1 scripts