Health Economics simulation
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Updated
May 28, 2018 - R
Health Economics simulation
Example of using the moment-generating function method for health economic evaluation in R
Microsimulation paper
Slides and Practicals for the BIDD modelling short course
Short course on Bayesian methods for addressing missing data in health economic evaluations
PSA-ReD is a novel approach to the traditional scatterplot for displaying the results of Probabilistic Sensitivity Analysis. Here, we provide the script and an example dataset so that everyone can use this new and improved approach. This new approach is described in detail in the paper titled "Increasing the information provided by probabilistic…
Speed up Discrete Markov Model Simulations.
A suite of functions for the calculation and presentation of the Expected Value of Sample Information.
Collection of R Packages that support analysis for the purposes of Health Technology Assessment (HTA)
📈Markov Models for Health Economic Evaluations
R package that extends the rpsftm package with some useful default reports and functions to facilitate sensitivity analysis. Covering descriptive, diagnostic and reporting aspects.
R package that facilitates the use of discrete event simulations without resource constraints for cost-effectiveness analysis.
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
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 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.
R package that provides models and functions to fit non-standard NMAs: piecewise exponential models and fractional polynomial models for grouped survival data (derived from digitized Kaplan-Meier curves).
I am a health economist currently funded by the Wellcome Trust and the University of Sheffield.
R package that facilitates performing matching-adjusted indirect comparison (MAIC) anaylsis for a disconnected treatment network where the endpoint of interest is either time-to-event (e.g. overall survival) or binary (e.g. objective tumor response).
Survival analysis in health economic evaluation Contains a suite of functions to systematise the workflow involving survival analysis in health economic evaluation. survHE can fit a large range of survival models using both a frequentist approach (by calling the R package flexsurv) and a Bayesian perspective.
Cost-Effectiveness Analysis for Clinical Trials
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