A math language for dimensional analysis

Tools for building decision models for health technology assessment.

Reproducible cost-effectiveness modeling

Collection of R Packages that support analysis for the purposes of Health Technology Assessment (HTA)

Health economic evaluations from individual level data with missing values using a set of pre-defined Bayesian models written in BUGS. A series of parametric models are available to jointly model partially-observed effectiveness and cost outcomes under both ignorable and nonignroable missing data mechanism assumptions

R codes for the example in the paper titled "A theoretical framework for state-transition cohort model in health decision analysis," https://journals.plos.org/plosone/article?id=10.1371/journal.pone.0205543

R code for the case study in the manuscript titled "Probability bound analysis: A novel approach for quantifying parameter uncertainty in decision-analytic modeling and cost-effectiveness analysis."

Survival analysis in health economic evaluation using Bayesian modelling though Integrated Nested Laplace Approximation. Contains a suite of functions to systematise the workflow involving survival analysis in health economic evaluation.

Short course on Bayesian methods for addressing missing data in health economic evaluations

R for trial and model-based cost-effectiveness analysis: One-day workshop

Code repository for "A Sensitivity Analysis Framework for Health Economic Evaluation in Middle Income Countries: Appropriately Incorporating a Comprehensive Approach"

A R package with utility functions to be used mainly for post-processing (of Bayesian models)

R package that facilitates performing survival analysis to support the creation of Excel based economic models by providing helper functions to use alongside the flexsurv package.

A R/Shiny frontend to use BCEA

CEA tool and analysis of costs and health outcomes for interventions that increase contraceptive access in Nigeria

Cost-effectiveness analysis comparing two interventions with probabilistic sensitivity analysis.

Model agnostic cost effectiveness plotting

A Python-based tool for building and analyzing decision trees in pharmacoeconomics.

R and Julia codes for case study 2 (Breast Cancer toxicity model) in the manuscript titled "Adding noise to Markov cohort state-transition models."

Cost effectiveness analysis of maternal vaccines and monoclonal antibodies against RSV in Kenya and South Africa