126 citations · 222 across the 5 of their papers we have counts for
5 papers
Prediction meets causal inference: the role of treatment in clinical prediction models
Nan van Geloven, Sonja Swanson, Chava Ramspek +7
In this paper we study approaches for dealing with treatment when developing a clinical prediction model. Analogous to the estimand framework recently proposed by the European Medi…
Guidelines for estimating causal effects in pragmatic randomized trials
Eleanor J. Murray, Sonja A. Swanson, Miguel A. Hernán
Pragmatic randomized trials are designed to provide evidence for clinical decision-making rather than regulatory approval. Common features of these trials include the inclusion of…
The choice of effect measure for binary outcomes: Introducing counterfactual outcome state transition parameters
Anders Huitfeldt, Andrew Goldstein, Sonja A. Swanson
Standard measures of effect, including the risk ratio, the odds ratio, and the risk difference, are associated with a number of well-described shortcomings, and no consensus exists…
Effect heterogeneity and variable selection for standardizing causal effects to a target population
Anders Huitfeldt, Sonja A. Swanson, Mats Julius Stensrud +1
The participants in randomized trials and other studies used for causal inference are often not representative of the populations seen by clinical decision-makers. To account for d…
Think Globally, Act Globally: An Epidemiologist's Perspective on Instrumental Variable Estimation
Sonja A. Swanson, Miguel A. Hernán
Discussion of "Instrumental Variables: An Econometrician's Perspective" by Guido W. Imbens [arXiv:1410.0163].