activity
20192023
most citedConceptualising Natural and Quasi Experiments in Public Health

148 citations · 153 across the 5 of their papers we have counts for

collaborators

5 papers

stat.ME2023★ 2 cited

Relationship between Collider Bias and Interactions on the Log-Additive Scale

Apostolos Gkatzionis, Shaun R. Seaman, Rachael A. Hughes +1

Collider bias occurs when conditioning on a common effect (collider) of two variables . In this manuscript, we quantify the collider bias in the estimated association between…

stat.ME2022★ 1 cited

Using Instruments for Selection to Adjust for Selection Bias in Mendelian Randomization

Apostolos Gkatzionis, Eric J. Tchetgen Tchetgen, Jon Heron +2

Selection bias is a common concern in epidemiologic studies. In the literature, selection bias is often viewed as a missing data problem. Popular approaches to adjust for bias due…

stat.ME2020★ 148 cited

Conceptualising Natural and Quasi Experiments in Public Health

Frank de Vocht, Srinivasa Vittal Katikireddi, Cheryl McQuire +3

Background: Natural or quasi experiments are appealing for public health research because they enable the evaluation of events or interventions that are difficult or impossible to…

stat.ME2020

Framework for the Treatment And Reporting of Missing data in Observational Studies: The TARMOS framework

Katherine J Lee, Kate Tilling, Rosie P Cornish +5

Missing data are ubiquitous in medical research. Although there is increasing guidance on how to handle missing data, practice is changing slowly and misapprehensions abound, parti…

stat.ME2019★ 2 cited

Sample-constrained partial identification with application to selection bias

Matthew Tudball, Rachael Hughes, Kate Tilling +2

Many partial identification problems can be characterized by the optimal value of a function over a set where both the function and set need to be estimated by empirical data. Desp…