105 citations · 118 across the 6 of their papers we have counts for
6 papers
Do Methodological Birds of a Feather Flock Together?
Carrie E. Fry, Laura A. Hatfield
Quasi-experimental methods have proliferated over the last two decades, as researchers develop causal inference tools for settings in which randomization is infeasible. Two popular…
Confounding and Regression Adjustment in Difference-in-Differences
Bret Zeldow, Laura A. Hatfield
Difference-in-differences (diff-in-diff) is a study design that compares outcomes of two groups (treated and comparison) at two time points (pre- and post-treatment) and is widely…
Nothing to See Here? A non-inferiority approach to parallel trends
Alyssa Bilinski, Laura A. Hatfield
Difference-in-differences is a popular method for observational health policy evaluation. It relies on a causal assumption that in the absence of intervention, treatment groups' ou…
Subgroup Identification and Interpretation with Bayesian Nonparametric Models in Health Care Claims Data
Christoph Kurz, Laura Hatfield
Inpatient care is a large share of total health care spending, making analysis of inpatient utilization patterns an important part of understanding what drives health care spending…
Discussion of "Spatial accessibility of pediatric primary healthcare: Measurement and inference"
Laura A. Hatfield
Discussion of "Spatial accessibility of pediatric primary healthcare: Measurement and inference" by Mallory Nobles, Nicoleta Serban and Julie Swann [arXiv:1501.03626].
Combining Dynamic Predictions from Joint Models for Longitudinal and Time-to-Event Data using Bayesian Model Averaging
Dimitris Rizopoulos, Laura A. Hatfield, Bradley P. Carlin +1
The joint modeling of longitudinal and time-to-event data is an active area of statistics research that has received a lot of attention in the recent years. More recently, a new an…