Bio
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.
Primary Contact:
Christopher R. Jacobs
Published Research
Brooks GA, Tomaino MR, Ramkumar N, Wang Q, Kapadia NS, O'Malley AJ, Wong SL, Loehrer AP, Tosteson ANA
J Natl Cancer Inst|2023 May 26
Lee CI, Abraham L, Miglioretti DL, Onega T, Kerlikowske K, Lee JM, Sprague BL, Tosteson ANA, Rauscher GH, Bowles EJA, diFlorio-Alexander RM, Henderson LM, Breast Cancer Surveillance Consortium
Radiology|2023 May
Tosteson ANA, Kirkland KB, Holthoff MM, Van Citters AD, Brooks GA, Cullinan AM, Dowling-Schmitt MC, Holmes AB, Meehan KR, Oliver BJ, Wasp GT, Wilson MM, Nelson EC
J Ambul Care Manage|2023 Apr-Jun 01
Su YR, Buist DSM, Lee JM, Ichikawa L, Miglioretti DL, Bowles EJA, Wernli KJ, Kerlikowske K, Tosteson A, Lowry KP, Henderson LM, Sprague BL, Hubbard RA
Cancer Epidemiol Biomarkers Prev|2023 Apr 3
Ramkumar N, Wang Q, Brooks GA, Tosteson ANA, Wong SL, Loehrer AP
J Rural Health|2023 Jan 11
Courses Taught
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.
PH 119:
Decision and Cost-Effectiveness Analysis: Practicum
(1.5)
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.