Cohort decomposition for Markov cost-effectiveness models

Medical Decision Making

Volumn 31, Issue 1, 2011, Pages 19-34

  Hazen, Gordon ^a   Li, Zhe ^a  

^a Northwestern University   (United States)

Author keywords

Cost effectiveness analysis; Markov models; Mathematical models and decision analysis; Women's health

Indexed keywords

ARTICLE; COHORT ANALYSIS; COST BENEFIT ANALYSIS; FACTORIAL ANALYSIS; HEALTH CARE COST; HEALTH SURVEY; HUMAN; METHODOLOGY; NEOPLASM; PROBABILITY; QUALITY ADJUSTED LIFE YEAR; RISK; RISK ASSESSMENT; STATISTICAL MODEL; STATISTICS; TIME; UNITED STATES;

COHORT STUDIES; COST-BENEFIT ANALYSIS; FACTOR ANALYSIS, STATISTICAL; HEALTH CARE COSTS; HUMANS; MARKOV CHAINS; MODELS, ECONOMIC; MODELS, STATISTICAL; NEOPLASMS; POPULATION SURVEILLANCE; QUALITY-ADJUSTED LIFE YEARS; RISK; RISK ASSESSMENT; TIME; UNITED STATES;

EID: 79953873731     PISSN: 0272989X     EISSN: 1552681X     Source Type: Journal    
DOI: 10.1177/0272989X10368999     Document Type: Article

References (18)

1. Hunink MGM, Glasziou P, Siegel JE, et al. Decision Making in Health and Medicine: Integrating Evidence and Values. Cambridge, UK: Cambridge University Press; 2001.
2. Beck J, Pauker SG. The Markov process in medical prognosis. Med Decis Making. 1983;3:419-53.
3. Beck J, Sonnenberg FA. Markov models in medical decision making: a practical guide. Med Decis Making. 1993;13: 322-38. (Pubitemid 24013155)
4. Briggs A SM, Claxton K. Decision Modeling for Health Economic Evaluation. Oxford, UK: Oxford University Press; 2006.
5. Col NF, Goldberg RJ, Orr RK, Erban JK, Fortin JM, Chlebowski RT. Survival impact of tamoxifen use for breast cancer risk reduction: projections from a patient-specific Markov model: Med Decis Making. 2002;22:386-93.
6. Anderson K, Jacobson JS, Heitjan DF, et al. Cost-effectiveness of preventive strategies for women with a BRCA1 or a BRCA2 mutation. Ann Intern Med. 2006;144:397-406. (Pubitemid 46768161)
7. Tsevat J, Eckman MH, McNutt RA, Pauker SG. Warfarin for dilated cardiomyopathy: a bloody tough pill to swallow? Med Decis Making. 1989;9:162-9. (Pubitemid 19181456)
8. Hazen GB. Factored stochastic trees: a tool for solving complex temporal medical decision models. Med Decis Making. 1993;13: 227-36. (Pubitemid 23199342)
9. Schousboe JT, Nyman JA, Kane RL, Ensrud KE. Cost-effectiveness of alendronate therapy for osteopenic postmenopausal women. Ann Intern Med. 2005;142:734-41. (Pubitemid 40593775)
10. Roach PJ, Fleming C, Hagen MD, Pauker SG. Prostatic cancer in a patient with asymptomatic HIV infection: are some lives more equal than others? Med Decis Making. 1988;8:132-44.
11. Sonnenberg FA, Pauker SG. Elective pericardiectomy for tuberculous pericarditis: should the snappers be snipped? Med Decis Making. 1986;6:110-23. (Pubitemid 16121230)
12. Plante D, Piccirillo J, Sofferman R. Decision analysis of treatment options in pyriform sinus carcinoma. Med Decis Making. 1987;7:74-83. (Pubitemid 17059043)
13. Fleming C, Wong J, Moskowitz A, Pauker S. A peripartum neurologic event: shooting from the hip. Med Decis Making. 1988;8:55-71. (Pubitemid 18030069)
14. Eckman M, Singh S, Erban J, Kao G. Testing for factor V Leiden in patients with pulmonary or venous thromboembolism: a cost-effectiveness analysis. Med Decis Making. 2002;22:108-24. (Pubitemid 34246126)
15. National Cancer Institute. Surveillance, Epidemiology, and End Results (SEER) Program. Bethesda, MD: National Cancer Institute; 2005.
16. Hazen GB. Stochastic trees: a new technique for temporal medical decision modeling. Med Decis Making. 1992;12:163-78.
17. Brennan A, Kharroubi S, O'Hagan A, Chilcott J. Calculating partial expected value of perfect information via Monte Carlo sampling algorithms. Med Decis Making. 2007;27:448-70. (Pubitemid 47106943)
18. Brennan A, Kharroubi SA. Efficient computation of partial expected value of sample information using Bayesian approximation. J Health Econ. 2007;26:122-48. (Pubitemid 44908721)