500 citations · 889 across the 12 of their papers we have counts for
12 papers
Simulating data from marginal structural models for a survival time outcome
Shaun R Seaman, Ruth H Keogh
Marginal structural models (MSMs) are often used to estimate causal effects of treatments on survival time outcomes from observational data when time-dependent confounding may be p…
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…
A comparison of two frameworks for multi-state modelling, applied to outcomes after hospital admissions with COVID-19
Christopher Jackson, Brian Tom, Peter Kirwan +5
We compare two multi-state modelling frameworks that can be used to represent dates of events following hospital admission for people infected during an epidemic. The methods are a…
Causal inference in survival analysis using longitudinal observational data: Sequential trials and marginal structural models
Ruth H. Keogh, Jon Michael Gran, Shaun R. Seaman +2
Longitudinal observational patient data can be used to investigate the causal effects of time-varying treatments on time-to-event outcomes. Several methods have been developed for…
Evaluating the impact of local tracing partnerships on the performance of contact tracing for COVID-19 in England
Pantelis Samartsidis, Shaun R. Seaman, Abbie Harrison +7
Assessing the impact of an intervention using time-series observational data on multiple units and outcomes is a frequent problem in many fields of scientific research. In this pap…
Hospitalisation risk for COVID-19 patients infected with SARS-CoV-2 variant B.1.1.7: cohort analysis
Tommy Nyberg, Katherine A. Twohig, Ross J. Harris +7
Objective: To evaluate the relationship between coronavirus disease 2019 (COVID-19) diagnosis with SARS-CoV-2 variant B.1.1.7 (also known as Variant of Concern 202012/01) and the r…