CHDS News Stories - Recent
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The Family Well-being Research Network (FAMNET) a collaborative project of CHDS faculty Eve Wittenberg, affiliated faculty Lisa Prosser at the University of Michigan, and Janel Hanmer at the University of Pittsburgh, announces the launch of two on-line Instrument repositories.
Dorit Stein, Global Health and Population (GHP) PhD candidate, and CHDS faculty Stéphane Verguet, simulated the potential health equity impact of improving hypertension management in low- and middle-income countries (LMICs) in a recent publication in Nature Medicine.
CHDS faculty Zachary Ward co-authored a study revealing that six social media platforms collectively made nearly $11 billion in advertising revenue from US users under the age of 18 in 2022.
Valuing changes in health and longevity poses many difficult challenges. To encourage innovative new research, CHDS’s James Hammitt, Lisa Robinson, and Michael Eber participated in a workshop at Université Paris Dauphine...
CHDS Welcomes New Educational Innovation ScholarJacob Jameson has been selected to be a Center for Health Decision Science Educational Innovation Scholar for the Spring and Fall semesters (2024).
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CHDS seminars feature national and international decision science experts. The seminars are virtual via Zoom and require pre-registration using the links provided below.
Speakers share their own perspectives; they do not speak for the Center for Health Decision Science or for Harvard University.
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The Cram Method for Efficient Simultaneous Learning and Evaluation
Tuesday, March 26, 1:00 pm ET
We introduce the "cram" method, a general, rigorous, and efficient approach to simultaneously developing and evaluating an individualized treatment rule (ITR). In a single pass of data, the proposed method repeatedly trains an machine learning algorithm and tests its empirical performance. Because it utilizes the entire sample for both learning and evaluation, cramming is significantly more data-efficient than traditional sample-splitting and reduces the evaluation standard error by more than 40% when compared to sample-splitting, while improving the performance of learned policy.
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Selecting a Structured Expert Judgement Approach: Uncertainty, Legitimation and Resource
Wednesday, April 3, 1:00 pm ET
Despite the large literature around Structured Expert Judgement (SEJ) approaches, there is a surprising lack of discussion around how one selects an appropriate SEJ approach for a particular context. This contrasts with the wide literature about combing multiple expert views to a single “representative” view. Here we look at the role of uncertainty, legitimation and resources in understanding problem context and in motivating the selection of a SEJ approach.
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CHDS Publications - Selected Recent
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Bhatt AS, Vaduganathan M, Claggett BL, Kulac IJ, Anand IS, Desai AS, Fang JC, Hernandez AF, Jhund PS, Kosiborod MN, Sabatine MS, Shah SJ, Vardeny O, McMurray JJV, Solomon SD, Gaziano TA. Cost Effectiveness of Dapagliflozin for Heart Failure Across the Spectrum of Ejection Fraction: An Economic Evaluation Based on Pooled, Individual Participant Data From the DELIVER and DAPA-HF Trials. J Am Heart Assoc. 2024 Feb 23:e032279. PMID: 38390793.
Amick AK, Eskibozkurt GE, Hosek SG, Flanagan CF, Landovitz RJ, Jin EY, Wilson CM, Freedberg KA, Weinstein MC, Kazemian P, Paltiel AD, Ciaranello AL, Neilan AM. Daily Oral Human Immunodeficiency Virus (HIV) Pre-Exposure Prophylaxis Among Young Men Who Have Sex With Men in the United States: Cost-Saving at Generic Drug Price. Clin Infect Dis. 2024 Feb 15;78(2):402-410. PMID: 37823865.
Stein DT, Reitsma MB, Geldsetzer P, Agoudavi K, Aryal KK, Bahendeka S, Brant LCC, Farzadfar F, Gurung MS, Guwatudde D, Houehanou YCN, Malta DC, Martins JS, Moghaddam SS, Mwangi KJ, Norov B, Sturua L, Zhumadilov Z, Bärnighausen T, Davies JI, Flood D, Marcus ME, Theilmann M, Vollmer S, Manne-Goehler J, Atun R, Sudharsanan N, Verguet S. Hypertension Care Cascades and Reducing Inequities in Cardiovascular Disease in Low- and Middle-Income Countries. Nat Med. 2024 Feb;30(2):414-423. PMID: 38278990.
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Featured Resource
Collection: Extended Cost-Effectiveness Analysis This collection, curated by the Center for Health Decision Science, provides broad exposure to extended cost-effectiveness analysis (ECEA). Unlike conventional cost-effectiveness analysis, ECEA includes non-health benefits such as financial risk protection and equity like distributional consequences.
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