4 papers · 1 filter
A causal framework for evaluating the total effect of strategies aiming to expand screening and to improve outcomes
Joy Zora Nakato, Janice Litunya, Brian Beesiga +5
For many health conditions, there are highly efficacious treatment and prevention products. Maximizing their impact requires strategies that improve the reach of health screening i…
Causal Inference with Missing Exposures and Missing Outcomes
Kirsten E. Landsiedel, Rachel Abbott, Atukunda Mucunguzi +6
Missing data are ubiquitous in public health research. When estimating causal effects, there are well-established methods to address bias to due missing outcomes. Commonly, causal…
Causal Inference in Randomized Trials with Partial Clustering
Joshua Nugent, Elijah Kakande, Gabriel Chamie +5
Clustering and dependence are common in trials. For example, in some cluster randomized trials (CRTs), pre-existing clusters are enrolled, randomized, and serve as the basis of int…
When exposure affects subgroup membership: Framing relevant causal questions in perinatal epidemiology and beyond
Shalika Gupta, Laura B. Balzer, Moses R. Kamya +2
Perinatal epidemiology often aims to evaluate exposures on infant outcomes. When the exposure affects the composition of people who give birth to live infants (e.g., by affecting f…