160 citations · 289 across the 12 of their papers we have counts for
4 papers · 1 filter
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…
Investigating Impacts of Health Policies Using Staggered Difference-in-Differences: The Effects of Adoption of an Online Consultation System on Prescribing Patterns of Antibiotics
Kate B. Ellis, Ruth H. Keogh, Geraldine M. Clarke +1
We use a recently proposed staggered difference-in-differences approach to investigate effects of adoption of an online consultation system in English general practice on antibioti…
Dynamic Updating of Clinical Survival Prediction Models in a Rapidly Changing Environment
Kamaryn Tanner, Ruth H. Keogh, Carol A. C. Coupland +2
Over time, the performance of clinical prediction models may deteriorate due to changes in clinical management, data quality, disease risk and/or patient mix. Such prediction model…
Prediction under interventions: evaluation of counterfactual performance using longitudinal observational data
Ruth H. Keogh, Nan van Geloven
Predictions under interventions are estimates of what a person's risk of an outcome would be if they were to follow a particular treatment strategy, given their individual characte…