Author: Christina Fasano

Target trial emulation (TTE) is a causal inference framework that can be used to model and estimate clinical trial outcomes, expanding information available for decision-making when budgets, ethics, feasibility

CHDS faculty Ankur Pandya, doctoral student Andrea Luviano, and former student Jihye Han re-analyzed the value assessments underlying the American Heart Association (AHA) guidelines

The Generalized Risk-Adjusted Cost-Effectiveness (GRACE) framework is a new approach to cost-effectiveness analysis (CEA) that addresses issues related to understanding patient priorities and variation in

CHDS faculty Jagpreet Chhatwal and colleagues, on behalf of the ISPOR Working Group on Generative AI, recently published an article in Value in Health that provides foundational

CHDS faculty Nicolas Menzies and colleagues projected how funding cuts from US bilateral health aid and The Global Fund to Fight AIDS, Tuberculosis, and Malaria could lead to increases

CHDS researchers Emily Burger, Stephen Sy, Mary Caroline Regan, and Jane Kim, as well as former postdoctoral fellow Jenny Spencer, collaborated with an international team

Conventional decision analytic models typically use probability distributions to represent parameter uncertainty. Thomas Trikalinos has developed a novel approach for representing uncertainty

CHDS faculty Davene Wright and colleagues used a real-world, retrospective cohort study to assess changes in initial treatment for children and adolescents with obesity following the issuance of the American Academy

CHDS congratulates faculty Jagpreet Chhatwal and colleague Rachael Fleurence for being honored with the inaugural Impact Award from The Professional Society for Health Economics

CHDS faculty Ankur Pandya has been elected by the Society for Medical Decision Making (SMDM) membership to President-Elect for 2025-2026. Pandya will succeed Beate Jahn, Associate Professor