4 citations · 7 across the 4 of their papers we have counts for
4 papers · 1 filter
Multiple imputation of incomplete multilevel data using Heckman selection models
Johanna Muñoz, Matthias Egger, Orestis Efthimiou +3
Missing data is a common problem in medical research, and is commonly addressed using multiple imputation. Although traditional imputation methods allow for valid statistical infer…
Adjusting for misclassification of an exposure in an individual participant data meta-analysis
Valentijn M. T. de Jong, Harlan Campbell, Lauren Maxwell +3
A common problem in the analysis of multiple data sources, including individual participant data meta-analysis (IPD-MA), is the misclassification of binary variables. Misclassifica…
Measurement Error in Meta-Analysis (MEMA) -- a Bayesian framework for continuous outcome data
Harlan Campbell, Valentijn M. T. de Jong, Lauren Maxwell +3
Ideally, a meta-analysis will summarize data from several unbiased studies. Here we consider the less than ideal situation in which contributing studies may be compromised by measu…
Bayesian adjustment for preferential testing in estimating the COVID-19 infection fatality rate
Harlan Campbell, Perry de Valpine, Lauren Maxwell +4
A key challenge in estimating the infection fatality rate (IFR) -- and its relation with various factors of interest -- is determining the total number of cases. The total number o…