58 citations · 64 across the 6 of their papers we have counts for
6 papers
Estimating hypothetical estimands with causal inference and missing data estimators in a diabetes trial
Camila Olarte Parra, Rhian M. Daniel, David Wright +1
The recently published ICH E9 addendum on estimands in clinical trials provides a framework for precisely defining the treatment effect that is to be estimated, but says little abo…
G-formula for causal inference via multiple imputation
Jonathan W. Bartlett, Camila Olarte Parra, Emily Granger +3
G-formula is a popular approach for estimating treatment or exposure effects from longitudinal data that are subject to time-varying confounding. G-formula estimation is typically…
Hypothetical estimands in clinical trials: a unification of causal inference and missing data methods
Camila Olarte Parra, Rhian M. Daniel, Jonathan W. Bartlett
The ICH E9 addendum introduces the term intercurrent event to refer to events that happen after randomisation and that can either preclude observation of the outcome of interest or…
Shall we count the living or the dead?
Anders Huitfeldt, Matthew P. Fox, Eleanor J. Murray +2
In the 1958 paper "Shall we count the living or the dead?", Mindel C. Sheps proposed a principled solution to the familiar problem of asymmetry of the relative risk. We provide cau…
Time-dependent mediators in survival analysis: Modelling direct and indirect effects with the additive hazards model
Odd O. Aalen, Mats J. Stensrud, Vanessa Didelez +3
We discuss causal mediation analyses for survival data and propose a new approach based on the additive hazards model. The emphasis is on a dynamic point of view, that is, understa…
Data-adaptive doubly robust instrumental variable methods for treatment effect heterogeneity
Karla DiazOrdaz, Rhian Daniel, Noemi Kreif
We consider the estimation of the average treatment effect in the treated as a function of baseline covariates, where there is a valid (conditional) instrument. We describe two dou…