Concept
Rubin causal model
Related publications (53)
Modulation of Visually Induced Self-motion Illusions by α Transcranial Electric Stimulation over the Superior Parietal Cortex
The growing popularity of virtual reality systems has led to a renewed interest in understanding the neurophysiological correlates of the illusion of self-motion (vection), a phenomenon that can be both intentionally induced or avoided in such systems, dep ...
Cambridge2024Acoustical Features as Knee Health Biomarkers: A Critical Analysis
David Atienza Alonso, Vincent Stadelmann, Tomas Teijeiro Campo, Jérôme Paul Rémy Thevenot, Christodoulos Kechris
Acoustical knee health assessment has long promised an alternative to clinically available medical imaging tools, but this modality has yet to be adopted in medical practice. The field is currently led by machine learning models processing acoustical featu ...
2024Using Negative Control Populations to Assess Unmeasured Confounding and Direct Effects
Sometimes treatment effects are absent in a subgroup of the population. For example, penicillin has no effect on severe symptoms in individuals infected by resistant Staphylococcus aureus, and codeine has no effect on pain in individuals with certain polym ...
Lippincott Williams & Wilkins2024Content Moderation in Online Platforms
A critical role of online platforms like Facebook, Wikipedia, YouTube, Amazon, Doordash, and Tinder is to moderate content. Interventions like banning users or deleting comments are carried out thousands of times daily and can potentially improve our onlin ...
EPFL2024Deplatforming did not decrease Parler users' activity on fringe social media
Robert West, Manoel Horta Ribeiro
Online platforms have banned ("deplatformed") influencers, communities, and even entire websites to reduce content deemed harmful. Deplatformed users often migrate to alternative platforms, which raises concerns about the effectiveness of deplatforming. He ...
OXFORD UNIV PRESS2023The arrow-of-time in neuroimaging time series identifies causal triggers of brain function
Dimitri Nestor Alice Van De Ville, Thomas William Arthur Bolton, Maria Giulia Preti, Enrico Amico, Raphaël Pierre Liégeois
Moving from association to causal analysis of neuroimaging data is crucial to advance our understanding of brain function. The arrow-of-time (AoT), that is, the known asymmetric nature of the passage of time, is the bedrock of causal structures shaping phy ...
WILEY2023Longitudinal incremental propensity score interventions for limited resource settings
Mats Julius Stensrud, Aaron Leor Sarvet
Many real‐life treatments are of limited supply and cannot be provided to all individuals in the population. For example, patients on the liver transplant waiting list usually cannot be assigned a liver transplant immediately at the time they reach highest ...
2023We Need Subject Matter Expertise to Choose and Identify Causal Estimands: Comment on "Estimands for Recurrent Event Endpoints in the Presence of a Terminal Event"
Mats Julius Stensrud, Matias Janvin
We summarize what we consider to be the two main limitations of the "Estimands for Recurrent Event Endpoints in the Presence of a Terminal Event" (Schmidli et al. 2022). First, the authors did not give detailed guidance on how to choose an appropriate esti ...
TAYLOR & FRANCIS INC2023Causal inference with recurrent and competing events
Mats Julius Stensrud, Pal Christie Ryalen, Matias Janvin
Many research questions concern treatment effects on outcomes that can recur several times in the same individual. For example, medical researchers are interested in treatment effects on hospitalizations in heart failure patients and sports injuries in ath ...
SPRINGER2023Interventionist estimands in event history analysis
The presence of competing events, such as death, makes it challenging to define causal effects on recurrent outcomes. In this thesis, I formalize causal inference for recurrent events, with and without competing events. I define several causal estimands an ...
EPFL2023