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>.

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bayesian-data-analysiscost-effectivenesshealth-economic-evaluation

10.50 score 53 stars 3 dependents 298 scripts 674 downloads

bib2df - 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.

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bibtexpeer-reviewed

9.74 score 101 stars 8 dependents 323 scripts 1.4k downloads

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). To run the Bayesian models, the user needs to install additional modules (packages), i.e. 'survHEinla' and 'survHEhmc'. These can be installed from <https://giabaio.r-universe.dev/> using 'install.packages("survHEhmc", repos = c("https://giabaio.r-universe.dev", "https://cloud.r-project.org"))' and 'install.packages("survHEinla", repos = c("https://giabaio.r-universe.dev", "https://cloud.r-project.org"))' 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>.

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frequentisthamiltonian-monte-carlohealth-economic-evaluationinlaplotting-survival-curvesrstansurvival-analysissurvival-modelsuncertaintyopenjdk

8.13 score 47 stars 3 dependents 89 scripts 819 downloads

BCEAweb - BCEA web app

Bayesian Cost Effectiveness Analysis (BCEA) web app using Shiny.

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bayesiancost-effectiveness-analysisshiny-appsvalue-of-informationwebapp

2.78 score 3 stars 2 scripts

bmhe - 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).

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bayesian-statisticsbugscost-effectiveness-analysisjagstidyverse

2.60 score 2 stars 7 scripts

survHEinla - 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>.

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bayesian-inferencecost-effectiveness-analysishealth-economic-evaluationintegrated-nested-laplace-approximationsurvival-analysisuncertaintyopenjdk

2.48 score 3 stars

SWSamp - 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.

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2.48 score 6 stars 2 scripts

survHEhmc - 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>.

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hamiltonian-monte-carlohealth-economic-evaluationsrstansurvival-analysisuncertaintycppopenjdk

2.40 score 5 stars 1 scripts