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We empirically demonstrate that graphical models can be a valuable tool inthe identification of mediating variables in causal pathways. We make use ofgraphical models to elucidate the causal pathway through which the treatmentinfluences the levels of fatigue and weakness in people living with HIV (PLHIV)based on a secondary analysis of a categorical dataset collected in abehavioral clinical trial: is weakness a mediator for the treatment andfatigue, or is fatigue a mediator for the treatment and weakness? Causalmediation analysis could not offer any definite answers to these questions.\\KEYWORDS: Contingency tables; graphical models; loglinear models; HIV;mediation

Identifying mediating variables with graphical models: an application to the study of causal pathways in people living with HIV