158 citations · 163 across the 7 of their papers we have counts for
7 papers
Estimating Racial and Ethnic Healthcare Quality Disparities Using Exploratory Item Response Theory and Latent Class Item Response Theory Models
Sharon-Lise Normand, Katya Zelevinsky, Marcela Horvitz-Lennon
Healthcare quality metrics refer to a variety of measures used to characterize what should have been done or not done for a patient or the health consequences of what was or was no…
Measuring performance for end-of-life care
Sebastien Haneuse, Deborah Schrag, Francesca Dominici +2
Although not without controversy, readmission is entrenched as a hospital quality metric, with statistical analyses generally based on fitting a logistic-Normal generalized linear…
Nonparametric Bayesian Instrumental Variable Analysis: Evaluating Heterogeneous Effects of Coronary Arterial Access Site Strategies
Samrachana Adhikari, Sherri Rose, Sharon-Lise Normand
Percutaneous coronary interventions (PCIs) are nonsurgical procedures to open blocked blood vessels to the heart, frequently using a catheter to place a stent. The catheter can be…
Bayesian Meta-Analysis of Multiple Continuous Treatments: An Application to Antipsychotic Drugs
Jacob Spertus, Marcela Horvitz-Lennon, Sharon-Lise Normand
Modeling dose-response relationships of drugs is essential to understanding their effect on patient outcomes under realistic circumstances. While intention-to-treat analyses of cli…
Regularization and Hierarchical Prior Distributions for Adjustment with Health Care Claims Data: Rethinking Comorbidity Scores
Jacob Spertus, Samrachana Adhikari, Sharon-Lise Normand
Health care claims data refer to information generated from interactions within health systems. They have been used in health services research for decades to assess effectiveness…
Bayesian Propensity Scores for High-Dimensional Causal Inference: A Comparison of Drug-Eluting to Bare-Metal Coronary Stents
Jacob Spertus, Sharon-Lise Normand
High-dimensional data can be useful for causal inference by providing many confounders that may bolster the plausibility of the ignorability assumption. Propensity score methods ar…