2 citations · 2 across the 2 of their papers we have counts for
3 papers
Simulating longitudinal data from marginal structural models using the additive hazard model
Ruth H. Keogh, Shaun R. Seaman, Jon Michael Gran +1
Observational longitudinal data on treatments and covariates are increasingly used to investigate treatment effects, but are often subject to time-dependent confounding. Marginal s…
Propensity scores using missingness pattern information: a practical guide
Helen A. Blake, Clemence Leyrat, Kathryn E. Mansfield +4
Electronic health records are a valuable data source for investigating health-related questions, and propensity score analysis has become an increasingly popular approach to addres…
Assessing the causal effect of binary interventions from observational panel data with few treated units
Pantelis Samartsidis, Shaun R. Seaman, Anne M. Presanis +2
Researchers are often challenged with assessing the impact of an intervention on an outcome of interest in situations where the intervention is non-randomised, the intervention is…