1 citations · 1 across the 2 of their papers we have counts for
3 papers
stat.ME2022★ 1 cited
Model-Twin Randomization (MoTR) for Estimating the Recurring Individual Treatment Effect
Eric J. Daza, Igor Matias, Logan Schneider
Temporally dense single-person "small data" have become widely available thanks to mobile apps and wearable sensors. Many caregivers and self-trackers want to use these data to hel…
stat.AP2019
Person as Population: A Longitudinal View of Single-Subject Causal Inference for Analyzing Self-Tracked Health Data
Eric Jay Daza
Single-subject health data are becoming increasingly available thanks to advances in self-tracking technology (e.g., wearable devices, mobile apps, sensors, implants). Many users a…
stat.ME2015
A Bayesian approach to the g-formula
Alexander P. Keil, Eric J. Daza, Stephanie M. Engel +2
Epidemiologists often wish to estimate quantities that are easy to communicate and correspond to the results of realistic public health scenarios. Methods from causal inference can…