Causal Graphs

Confounder selection via iterative graph expansion

Confounder selection via iterative graph expansion

Confounder selection via iterative graph expansion

We propose a systematic way to select confounders

Almost exact Mendelian randomization

By combining causal graphs and randomization inference, a formal justification for Mendelian randomization is given in the context of with-family studies.

Confounder selection: Objectives and approaches

We provide a unified review of various confounder selection criteria in the literature and the assumptions behind them.

Almost exact Mendelian randomization

By combining causal graphs and randomization inference, a formal justification for Mendelian randomization is given in the context of with-family studies.