Anna Tosteson is the James J. Carroll Professor of Oncology and the Associate Director for Population Sciences at the Norris Cotton Cancer Center. She serves as an Associate Director for SYNERGY, Dartmouth’s Clinical and Translational Science Institute. She previously served as the Interim Director of The Dartmouth Institute for Health Policy and Clinical Practice.
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. Through use of diverse data sources including 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 screening and women’s health.
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.
Christopher R. Jacobs
Mackwood MB, Butcher RL, Vaclavik D, Alford-Teaster JA, Curtis KM, Lowry ML, Tosteson TD, Zhao W, Tosteson ANA
JMIR Cancer|2022 Jul 21
Van Citters AD, Kennedy AM, Kirkland KB, Dragnev KH, Leach SD, Buus-Frank ME, Malcolm EF, Holthoff MM, Holmes AB, Nelson EC, Reeves SA, Tosteson ANA, Promise Partnership Delphi Panel.
JNCI Cancer Spectr|2022 May 2
Wernli KJ, Smith RE, Henderson LM, Zhao W, Durham DD, Schifferdecker K, Kaplan C, Buist DSM, Kerlikowske K, Miglioretti DL, Onega T, Alsheik NH, Sprague BL, Jackson-Nefertiti G, Budesky J, Johnson D, Tosteson ANA
Breast Cancer Res Treat|2022 Aug
Kerlikowske K, Su YR, Sprague BL, Tosteson ANA, Buist DSM, Onega T, Henderson LM, Alsheik N, Bissell MCS, O'Meara ES, Lee CI, Miglioretti DL
JAMA|2022 Jun 14
Diamond CJ, Laurentiev J, Yang J, Wint A, Harris KA, Dang TH, Mecker A, Carpenter EB, Tosteson AN, Wright A, Haas JS, Atlas SJ, Zhou L
Stud Health Technol Inform|2022 Jun 6
PH 119 & PH 121:
Decision and Cost-Effectiveness Analysis (elective)
(1.5 units (PH 119); 1.0 unit (PH 121) )
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. Weekly problem sets are also used to reinforce the concepts presented in class. 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.
The Integrative Learning Experience (ILE) component can be met in this course.
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.