activity
20122023
most citedOn Instrumental Variables Estimation of Causal Odds Ratios

117 citations · 151 across the 5 of their papers we have counts for

collaborators

6 papers

stat.ME2023★ 34 cited

Inverse probability of treatment weighting with generalized linear outcome models for doubly robust estimation

Erin E Gabriel, Michael C Sachs, Torben Martinussen +4

There are now many options for doubly robust estimation; however, there is a concerning trend in the applied literature to believe that the combination of a propensity score and an…

stat.ME2021

A framework for meta-analysis through standardized survival curves

Joris Hautekiet, Elena-Sophie Prigge, Theresa Obermueller +2

Meta-analyses of survival studies aim to reveal the variation of an effect measure of interest over different studies and present a meaningful summary. They must address between st…

stat.AP2020

Trial emulation and survival analysis for disease incidence registers: a case study on the causal effect of pre-emptive kidney transplantation

Camila Olarte Parra, Ingeborg Waernbaum, Staffan Schön +1

Numerous tutorials and research papers focus on methods in either survival analysis or causal inference, leaving common complications in medical studies unaddressed. In practice on…

stat.ME2020

Framework for the Treatment And Reporting of Missing data in Observational Studies: The TARMOS framework

Katherine J Lee, Kate Tilling, Rosie P Cornish +5

Missing data are ubiquitous in medical research. Although there is increasing guidance on how to handle missing data, practice is changing slowly and misapprehensions abound, parti…

stat.ME2019

Formulating causal questions and principled statistical answers

Els Goetghebeur, Saskia le Cessie, Bianca De Stavola +2

Although review papers on causal inference methods are now available, there is a lack of introductory overviews on what they can render and on the guiding criteria for choosing one…

stat.ME2012★ 117 cited

On Instrumental Variables Estimation of Causal Odds Ratios

Stijn Vansteelandt, Jack Bowden, Manoochehr Babanezhad +1

Inference for causal effects can benefit from the availability of an instrumental variable (IV) which, by definition, is associated with the given exposure, but not with the outcom…