13 citations · 33 across the 4 of their papers we have counts for
4 papers · 1 filter
Bayesian multilevel multivariate logistic regression for superiority decision-making under observable treatment heterogeneity
Xynthia Kavelaars, Joris Mulder, Maurits Kaptein
In medical, social, and behavioral research we often encounter datasets with a multilevel structure and multiple correlated dependent variables. These data are frequently collected…
Bayesian multivariate logistic regression for superiority and inferiority decision-making under observable treatment heterogeneity
Xynthia Kavelaars, Joris Mulder, Maurits Kaptein
The effects of treatments may differ between persons with different characteristics. Addressing such treatment heterogeneity is crucial to investigate whether patients with specifi…
Decision-making with multiple correlated binary outcomes in clinical trials
X. M. Kavelaars, J. Mulder, M. C. Kaptein
Clinical trials often evaluate multiple outcome variables to form a comprehensive picture of the effects of a new treatment. The resulting multidimensional insight contributes to c…
Multiple imputation in data that grow over time: A comparison of three strategies
X. M. Kavelaars, S. van Buuren, J. R. van Ginkel
Multiple imputation is a highly recommended technique to deal with missing data, but the application to longitudinal datasets can be done in multiple ways. When a new wave of longi…