A math language for dimensional analysis

A repository to include all the R code for the examples in the book R for HTA

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

Tools for building decision models for health technology assessment.

Reproducible cost-effectiveness modeling

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

Decision tree to Markov models using S3 tutorial code

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

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

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.

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."

A R/Shiny frontend to use BCEA

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

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

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.

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

Model agnostic cost effectiveness plotting

An in-depth analysis of customer acquisition cost (CAC) across marketing channels in 2023, using Python for data processing and visualization. The project evaluates performance metrics like CAC, conversion efficiency, and spend effectiveness to inform marketing strategy and budget optimization.

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