5 citations · 7 across the 3 of their papers we have counts for
4 papers
Causal Clustering for Conditional Average Treatment Effects Estimation and Subgroup Discovery
Zilong Wang, Turgay Ayer, Shihao Yang
Estimating heterogeneous treatment effects is critical in domains such as personalized medicine, resource allocation, and policy evaluation. A central challenge lies in identifying…
ELEVATE-GenAI: Reporting Guidelines for the Use of Large Language Models in Health Economics and Outcomes Research: an ISPOR Working Group on Generative AI Report
Rachael L. Fleurence, Dalia Dawoud, Jiang Bian +5
Introduction: Generative artificial intelligence (AI), particularly large language models (LLMs), holds significant promise for Health Economics and Outcomes Research (HEOR). Howev…
Generative AI in Health Economics and Outcomes Research: A Taxonomy of Key Definitions and Emerging Applications, an ISPOR Working Group Report
Rachael Fleurence, Xiaoyan Wang, Jiang Bian +5
Objective: This article offers a taxonomy of generative artificial intelligence (AI) for health economics and outcomes research (HEOR), explores its emerging applications, and outl…
Small Area Estimation of Case Growths for Timely COVID-19 Outbreak Detection
Zhaowei She, Zilong Wang, Jagpreet Chhatwal +1
The COVID-19 pandemic has exerted a profound impact on the global economy and continues to exact a significant toll on human lives. The COVID-19 case growth rate stands as a key ep…