Missing data

Joint longitudinal models for dealing with missing at random data in trial-based economic evaluations
Objectives: In trial-based economic evaluation, some individuals are typically associated with missing data at some time point, so that …
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Linear mixed models to handle missing at random data in trial-based economic evaluations
Contributed presentation
Jan 6, 2021
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Joint longitudinal models for dealing with missing at random data in trial-based economic evaluations
Health economic evaluations based on patient-level data collected alongside clinical trials (e.g. health related quality of life and …
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Choosing the Missing Data Method in Trial-Based Economic Evaluations. How to Make the Right Choice?
Invited presentation
Jan 28, 2020
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A Bayesian Parametric Approach to Handle Missing Longitudinal Outcome Data in Trial-Based Health Economic Evaluations
Contibuted poster
Nov 4, 2019
Project Poster
A Bayesian Parametric Approach to Handle Missing Longitudinal Outcome Data in Trial-Based Health Economic Evaluations
Contibuted presentation
Oct 7, 2019
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MissingHE 1.2.1
I have finally found some time to update the version for my R package missingHE, for which version 1.2.1 is now available on CRAN. I included two main features to the previous version of the package.
Last updated on Sep 25, 2019 package, R
MissingHE 1.2.1
Adjusting for partially-observed utilities and costs in trial-based cost-effectiveness analysis: a comparison of different methods and their performance
Contributed presentation
Jul 4, 2019
Project
MissingHE
missingHE is a R package aimed at providing some useful tools to analysts in order to handle missing outcome data under a Full Bayesian framework in economic evaluations. The package relies on the R package R2jags to implement Bayesian methods via the statistical software JAGS.
Last updated on Jul 5, 2019 missingHE
Code Workshop
Bayesian methods for addressing missing data in health economic evaluations
Pre-conference workshop
Jun 11, 2019
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