.
June 27, 2024
HTx Project: Advancing Health Technology Assessment Through Methods Research
Prof. Dalia Dawoud, PhD, is Associate Director (Research) at the National Institute for Health and Care Excellence (NICE)
May 14, 2024
Evaluating the cost-effectiveness of obesity prevention interventions – developing the CHOICES model methodology
Dr. Zachary J. Ward, MPH, PhD, Asst. Professor of Health Decision Science, Dept. of Health Policy & Management, Harvard T.H. Chan School of Public Health.
April 9, 2024
Dr. Brian Denton, PhD – Predictive and Prescriptive Models for Early Detection and Treatment of Metastatic Prostate Cancer
May 16, 2023
Dr. Cornelia Griggs, MD – Current Treatment of Severe Obesity in Children and Adolescents
June 14, 2022
Dr. Soroush Saghafian, PhD – Can Public Reporting Cure Healthcare?
Mar 15, 2022
Constance “Connie” Lehman, MD, PhD – Deep learning and breast cancer: AI for good
Feb 8, 2022
Dr. Hawre Jalal, MD PhD – Prominent spatiotemporal patterns of COVID-19 case incidence in the US
Nov 9, 2021
Dan Ollendorf, PhD – It’s the Prices, Stupid: Evolution of Health Technology Assessment in the U.S. and Impact on Pricing
Sept 14, 2021
Pinar Keskinocak, PhD – Modeling Infectious Diseases: Projecting Spread, Evaluating Interventions, and Resource Allocation
May 11, 2021
Ashish A. Deshmukh, PhD, MPH – Changing trajectories of HPV-associated cancers and opportunities for control
April 20, 2021
Elizabeth Burnside, MD, MPH, MS – Precision Breast Cancer Screening: An Iterative Learning Health System Intervention
March 9, 2021
Jeremy D. Goldhaber-Fiebert, PhD – COVID-19 Policy Modeling and Links to Decision Makers
January 19, 2021
Benjamin Linas, MD MPH – Simulation modeling to improve the care of opioid use disorder in the U.S
David Kim, PhD, MS – Perspective in Cost-Effectiveness Analysis: 2nd US Panel’s Deliberations and Practical Guidelines for Analysts
November 24, 2020
Ankur Pandya, PhD – A framework for responding to health-improving but cost-ineffective health care
October 20, 2020
Sana Raoof, MD, PhD – American Oncology: Our history, unmet needs, and future opportunities
September 8, 2020
Madeline Adee, MPH – Ignoring the incarcerated: how people in jails and prisons are excluded from health statistics and health services, and the impact this has on disease modeling
May 12, 2020
Jennifer M. Yeh, PhD – Early initiation of breast cancer screening in childhood cancer survivors: Insights from a collaborative modeling study
April 14, 2020
Davene R. Wright, PhD – Goldilocks and the three disciplines: crafting an interdisciplinary research agenda to improve child health
February 18, 2020
Sandra J. Lee, PhD – Collaborative Modeling for Breast Cancer Screening
January 14, 2020
Danielle Currie, PhD – Falling for the wrong ‘solution’?
December 10, 2019
Nikhil Panda, MD – Building the Digital Phenotype of Recovery after Surgery: Harnessing Smartphone Data to Improve Quality of Life Assessment
November 19, 2019
TA Trikalinos, MD, PhD – lation of computationally expensive mathematical models
October 15, 2019
Marc Larochelle, MD, MPH – Using “big data” to respond to the crisis of opioid-related harms
September 18, 2019
Sung Eun Choi, PhD – Cost-effectiveness of treating oral disease among patients with type II diabetes
May 28, 2019
Kerry Reynolds, MD – Immunotherapy: More Questions than Answers
April 9, 2019
Jamie Cohen, MPH – TBD
March 12, 2019
Ryan Nipp, MD, MPH Patient-Reported Physical and Psychological Symptom Burden among Hospitalized Patients with Cancer
February 12, 2019
Steven Lubitz, MD MPH – Atrial Fibrillation: to Screen or Not to Screen
January 2019
Laura Brattain, PhD – Machine Learning for Translational Medicine
December 2018
Florian Fintelmann, MD – Role of Body Composition Metrics in Lung Cancer Care
October 2018
Frank Wharam, MD MPH – High-deductible Insurance and Cancer Care: Early Efforts to Quantify Toxicity
February 2018
Anthony Samir, MD MPH – Ultrasound as a Quantitative Imaging Biosensor: Emerging Applications and Opportunities with a focus on Synthetic Liver Biomarkers
December 2017
Selin Merdan, PhD candidate – Predictive Analytics for Optimal Detection of Metastatic Prostate Cancer
November 2017
Sarah Mercaldo, PhD – Strategies to deal with missing predictor values when constructing, validating, and applying clinical prediction models
Nate Mercaldo, PhD – Efficient study designs for longitudinal binary data
October 2017
Vicki Fung, PhD – Opioid use among patients with serious mental illness
September 2017
Krishna Reddy, MD – Tobacco and HIV: Model-based Approaches to Study Converging Epidemics
August 2017
Kelvin Tsoi, PhD – Classification of Visit-to-Visit Blood Pressure Variability: A Machine Learning Approach for Data Clustering on Systolic Blood Pressure Intervention Trial (SPRINT)