activity
20142024
most citedA comparison of methods for model selection when estimating individual treatment effects

31 citations · 45 across the 14 of their papers we have counts for

collaborators
Showing stat.APShow all

5 papers · 1 filter

stat.AP2020★ 1 cited

A Causal Machine Learning Framework for Predicting Preventable Hospital Readmissions

Ben J. Marafino, Alejandro Schuler, Vincent X. Liu +2

Clinical predictive algorithms are increasingly being used to form the basis for optimal treatment policies--that is, to enable interventions to be targeted to the patients who wil…

stat.AP2020

Understanding the spatial burden of gender-based violence: Modelling patterns of violence in Nairobi, Kenya through geospatial information

Rina Friedberg, Clea Sarnquist, Gavin Nyairo +2

We present statistical techniques for analyzing global positioning system (GPS) data in order to understand, communicate about, and prevent patterns of violence. In this pilot stud…

stat.AP2017★ 1 cited

The causal impact of bail on case outcomes for indigent defendants

Kristian Lum, Mike Baiocchi

We use near-far matching, a technique for estimating causal relationships, to explore whether bail causes a higher likelihood of conviction. We find evidence of a strong causal imp…

stat.AP2016★ 2 cited

Protocol for an Observational Study on the Effects of Playing High School Football on Later Life Cognitive Functioning and Mental Health

Sameer K. Deshpande, Raiden B. Hasegawa, Amanda R. Rabinowitz +7

A potential causal relationship between head injuries sustained by NFL players and later-life neurological decline may have broad implications for participants in youth and high sc…

stat.AP2014★ 1 cited

Peer assessment enhances student learning

Dennis L. Sun, Naftali Harris, Guenther Walther +1

Feedback has a powerful influence on learning, but it is also expensive to provide. In large classes, it may even be impossible for instructors to provide individualized feedback.…