5 papers
Kendall's tau estimator for bivariate zero-inflated count data
Elisa Perrone, Edwin R. van den Heuvel, Zhuozhao Zhan
In this paper, we extend the work of Pimentel et al. (2015) and propose an adjusted estimator of Kendall's for bivariate zero-inflated count data. We provide achievable lower a…
Individual causal effects from observational longitudinal studies with time-varying exposures
Richard Post, Zhuozhao Zhan, Edwin van den Heuvel
Causal effects may vary among individuals and can even be of opposite signs. When significant effect heterogeneity exists, the population average causal effect might be uninformati…
Simulation Models for Aggregated Data Meta-Analysis: Evaluation of Pooling Effect Sizes and Publication Biases
Edwin R. van den Heuvel, Osama Almalik, Zhuozhao Zhan
Simulation studies are commonly used to evaluate the performance of newly developed meta-analysis methods. For methodology that is developed for an aggregated data meta-analysis, r…
Copas' method is sensitive to different mechanisms of publication bias
Osama Almalik, Zhuozhao Zhan, Edwin R. van den Heuvel
Copas' method corrects a pooled estimate from an aggregated data meta-analysis for publication bias. Its performance has been studied for one particular mechanism of publication bi…
Joint modeling with time-dependent treatment and heteroskedasticity: Bayesian analysis with application to the Framingham Heart Study
Sandra Keizer, Zhuozhao Zhan, Vasan S. Ramachandran +1
Medical studies for chronic disease are often interested in the relation between longitudinal risk factor profiles and individuals' later life disease outcomes. These profiles may…