Bio
Anna Tosteson is the James J. Carroll Professor of Oncology and the Associate Director for Population Sciences at the Dartmouth Cancer Center. She is one of three Principal Investigators for SYNERGY, Dartmouth’s Clinical and Translational Science Institute. She previously served as the Interim Director of The Dartmouth Institute for Health Policy & 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 the 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 osteoporosis's direct and indirect economic and societal costs 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) an MS in biostatistics from Harvard University, and a BS in statistics and biometry from Cornell University.
Primary Contact:
Christopher R. Jacobs
Published Research
Predicting five-year interval second breast cancer risk in women with prior breast cancer.
Hubbard RA, Su YR, Bowles EJ, Ichikawa L, Kerlikowske K, Lowry KP, Miglioretti DL, Tosteson ANA, Wernli KJ, Lee JM
J Natl Cancer Inst|2024 Mar 11
Scodari BT, Schaefer AP, Kapadia NS, O'Malley AJ, Brooks GA, Tosteson ANA, Onega T, Wang C, Wang F, Moen EL
JCO Oncol Pract|2024 Feb 22
Response to Omoleye, Esserman, Olufunmilayo.
Kerlikowske K, Zhu W, Su YR, Sprague BL, O'Meara ES, Tosteson ANA, Wernli KJ, Miglioretti DL
J Natl Cancer Inst|2024 Apr 5
Onega T, Garcia M, Beaber EF, Haas JS, Breslau ES, Tosteson ANA, Halm E, Chao CR, Barlow WE
J Gen Intern Med|2023 Dec 14
Sha ST, Usadi B, Wang Q, Tomaino M, Brooks GA, Loehrer AP, Wong SL, Tosteson ANA, Colla CH, Kapadia NS
Adv Radiat Oncol|2023 Nov-Dec
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.