31 citations · 45 across the 14 of their papers we have counts for
14 papers
Inspection-Guided Randomization: A Flexible and Transparent Restricted Randomization Framework for Better Experimental Design
Maggie Wang, René F. Kizilcec, Michael Baiocchi
Randomized experiments are considered the gold standard for estimating causal effects. However, out of the set of possible randomized assignments, some may be likely to produce poo…
Avoiding Biased Clinical Machine Learning Model Performance Estimates in the Presence of Label Selection
Conor K. Corbin, Michael Baiocchi, Jonathan H. Chen
When evaluating the performance of clinical machine learning models, one must consider the deployment population. When the population of patients with observed labels is only a sub…
Robust Designs for Prospective Randomized Trials Surveying Sensitive Topics
Evan T. R. Rosenman, Rina Friedberg, Mike Baiocchi
We consider the problem of designing a prospective randomized trial in which the outcome data will be self-reported, and will involve sensitive topics. Our interest is in misreport…
Assignment-Control Plots: A Visual Companion for Causal Inference Study Design
Rachael C. Aikens, Michael Baiocchi
An important step for any causal inference study design is understanding the distribution of the treated and control subjects in terms of measured baseline covariates. However, not…
Statistical matching and subclassification with a continuous dose: characterization, algorithm, and application to a health outcomes study
Bo Zhang, Emily J. Mackay, Mike Baiocchi
Subclassification and matching are often used in empirical studies to adjust for observed covariates; however, they are largely restricted to relatively simple study designs with a…
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…
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…
When black box algorithms are (not) appropriate: a principled prediction-problem ontology
Jordan Rodu, Michael Baiocchi
In the 1980s a new, extraordinarily productive way of reasoning about algorithms emerged. In this paper, we introduce the term "outcome reasoning" to refer to this form of reasonin…
stratamatch: Prognostic ScoreStratification using a Pilot Design
Rachael C. Aikens, Joseph Rigdon, Justin Lee +5
Optimal propensity score matching has emerged as one of the most ubiquitous approaches for causal inference studies on observational data; However, outstanding critiques of the sta…
Propensity Score Methods for Merging Observational and Experimental Datasets
Evan Rosenman, Art B. Owen, Michael Baiocchi +1
This project considers how one might augment a limited amount of data from randomized controlled trial (RCT) with more plentiful data from an observational database (ODB), in order…
A comparison of methods for model selection when estimating individual treatment effects
Alejandro Schuler, Michael Baiocchi, Robert Tibshirani +1
Practitioners in medicine, business, political science, and other fields are increasingly aware that decisions should be personalized to each patient, customer, or voter. A given t…
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…
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…
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.…