Development of a data-informed causal expert system for personalized treatment recommendations

Data-adaptive causal inference under weak assumptions

Causal inference in observational HIV/AIDS studies.

Optimal causal learning using electronic health records

Methods in Research on Research (MiRoR) / Estimation of causal effects from observational studies: how results obtained from different causal inference methods can be integrated in a meta-analyses approa

Honest data-adaptive inference for treatment effects

Center for Statistics

Bias-reduced double-robust estimation

Offline and online evaluation of medical treatment decision strategies based on large scale electronic health registers

Dealing with effect decomposition and intermediate confounding in causal mediation analysis

Optimal estimation of nuisance paramters and models in causal inference

Structural nested models for the effect of a time-varying exposure on dichtomous outcomes and survival outcomes

Semiparametric mixed models for the analysis of genome wide expression data

Powerful methods for detecting gene-gene interactions

Multilevel causal mediation analysis of multiple longitudinal mediators with unknown causal structure

Leveraging Big Data To Improve Healthcare Decision-Making

Dealing with multiple mediators in causal mediation analysis

Modelling the impact of microbicides on HIV incidence and prevalence in Mombasa, Kenya