3 citations · 7 across the 3 of their papers we have counts for
3 papers
TrialEmulation: An R Package to Emulate Target Trials for Causal Analysis of Observational Time-to-event Data
Li Su, Roonak Rezvani, Shaun R. Seaman +2
Randomised controlled trials (RCTs) are regarded as the gold standard for estimating causal treatment effects on health outcomes. However, RCTs are not always feasible, because of…
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…
Propensity score analysis with partially observed confounders: how should multiple imputation be used?
Clemence Leyrat, Shaun R. Seaman, Ian R. White +6
Inverse probability of treatment weighting (IPTW) is a popular propensity score (PS)-based approach to estimate causal effects in observational studies at risk of confounding bias.…