Anna Tosteson is the Interim Director of The Dartmouth Institute and the James J Carroll Professor and Professor of Medicine, of Community and Family Medicine and of The Dartmouth Institute. She also directs The Dartmouth Institute’s Comparative Effectiveness Research Program and the affiliated NIAMS-sponsored Multidisciplinary Clinical Research Center in Musculoskeletal Diseases. At Norris Cotton Cancer Center, Tosteson is the Associate Director for Population Sciences. She also is a co-principal investigator for SYNERGY, Dartmouth’s Clinical and Translational Science Institute.
Tosteson is a decision scientist and health services researcher who studies how the diffusion of innovations in health care are changing health, costs and quality of care. By making use of large data sets and innovative linkages between registries, clinical and epidemiological studies, and administrative claims data, she seeks insights into the long-term clinical and economic effects of alternative approaches to health care delivery with a focus on cancer and musculoskeletal diseases.
Tosteson is internationally recognized for demonstrating the direct and indirect economic and societal costs of osteoporosis on the health care system, workforce productivity, and quality of life. Her work on the surgeon general’s report, Bone Health and Osteoporosis, contributed to the adoption of prevention, screening, and treatment for that disease.
Tosteson earned a ScD in biostatistics (health decision science) and MS in biostatistics from Harvard University, and a BS in statistics and biometry from Cornell University.
Brooks GA, Austin AM, Uno H, Dragnev KH, Tosteson ANA, Schrag D
JAMA Netw Open|2018 Oct 5
Austin AM, Kapadia NS, Brooks GA, Onega TL, Eliassen AH, Tamimi RM, Holmes M, Wang Q, Grodstein F, Tosteson ANA
Breast Cancer Res Treat|2019 Jan 3
Durand MA, Song J, Yen RW, Sepucha K, Politi MC, Dhage S, Rosenkranz K, Margenthaler J, Tosteson ANA, Crayton E, Jackson S, Bradley A, O'Malley AJ, Volk RJ, Ozanne E, Percac-Lima S, Acosta J, Mir N, Scalia P, Ward A, Elwyn G
MDM Policy Pract|2018 Jul-Dec
Beaber EF, Sprague BL, Tosteson ANA, Haas JS, Onega T, Schapira MM, McCarthy AM, Li CI, Herschorn SD, Lehman CD, Wernli KJ, Barlow WE
J Womens Health (Larchmt)|2018 Nov 27
Lee CI, Zhu W, Onega TL, Germino J, O'Meara ES, Lehman CD, Henderson LM, Haas JS, Kerlikowske K, Sprague BL, Rauscher GH, Tosteson ANA, Alford-Teaster J, Wernli KJ, Miglioretti DL
AJR Am J Roentgenol|2018 Nov
Decision and Cost-Effectiveness Analysis
This course covers the fundamental principles and mechanics of decision analysis and cost-effectiveness analysis. Topics covered in the course include basics of probability (including Bayes’ Theorem), structuring decision problems as decision trees and Markov models, components of preference (value preference, time preference, and risk preference), valuing multidimensional outcomes, evaluating decision trees, sensitivity analysis, value of information, and basic principles of cost-effectiveness analysis. The course has a weekly lab that involves use of decision analysis software to reinforce concepts presented in class. Labs are also used for development, progress review and discussion of small group decision analysis projects, which culminate in formal presentations the last week of class. Weekly problem sets are also used to reinforce the concepts presented in class.
Prerequisites: PH 100, PH 139, 140
Decision and Cost-Effectiveness Analysis: Practicum
This course, which covers the fundamental principles and mechanics of decision analysis and cost-effectiveness analysis, is offered in conjunction with PH 121 (see its description below). Students in PH 119 participate in the same weekly assignments and attend the same lectures as students in PH 121, but students in PH 119 complete an independent practicum project and paper instead of a small group project. Approval of a practicum project by the course instructors is required before a student can pre-register for PH 119.
119 or 147 required for MS.
Prerequisites: PH 100, 139, 140, and permission from instructor prior to pre-registration.