5 citations · 12 across the 6 of their papers we have counts for
6 papers
How to relate potential outcomes: Estimating individual treatment effects under a given specified partial correlation
Mingyang Cai, Stef van Buuren, Gerko Vink
In most medical research, the average treatment effect is used to evaluate a treatment's performance. However, precision medicine requires knowledge of individual treatment effects…
Joint distribution properties of Fully Conditional Specification under the normal linear model with normal inverse-gamma priors
Mingyang Cai, Stef van Buuren, Gerko Vink
Fully conditional specification (FCS) is a convenient and flexible multiple imputation approach. It specifies a sequence of simple regression models instead of a potential complex…
Graphical and numerical diagnostic tools to assess multiple imputation models by posterior predictive checking
Mingyang Cai, Stef van Buuren, Gerko Vink
Missing data are often dealt with multiple imputation. A crucial part of the multiple imputation process is selecting sensible models to generate plausible values for incomplete da…
A blended distance to define "people-like-me"
Anaïs Fopma, Mingyang Cai, Stef van Buuren +1
Curve matching is a prediction technique that relies on predictive mean matching, which matches donors that are most similar to a target based on the predictive distance. Even thou…
Missing the Point: Non-Convergence in Iterative Imputation Algorithms
Hanne Ida Oberman, Stef van Buuren, Gerko Vink
Iterative imputation is a popular tool to accommodate missing data. While it is widely accepted that valid inferences can be obtained with this technique, these inferences all rely…
Pooling multiple imputations when the sample happens to be the population
Gerko Vink, Stef van Buuren
Current pooling rules for multiply imputed data assume infinite populations. In some situations this assumption is not feasible as every unit in the population has been observed, p…