Biomedical decision making: Probabilistic clinical reasoning

Biomedical Informatics: Computer Applications in Health Care and Biomedicine: Fourth Edition

Volumn , Issue , 2014, Pages 67-107

  Owens, Douglas K ^a,b   Sox, Harold C ^c  

^a VA PALO ALTO HEALTH CARE SYSTEM   (United States)

^b STANFORD UNIVERSITY   (United States)

^c DARTMOUTH INSTITUTE FOR HEALTH POLICY AND CLINICAL PRACTICE   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

COMPUTER SCIENCE; COMPUTERS;

CLINICAL REASONING;

DECISION MAKING;

EID: 85028503198     PISSN: None     EISSN: None     Source Type: Book    
DOI: 10.1007/978-1-4471-4474-8_3     Document Type: Chapter

References (10)

1. Briggs, A., Weinstein, M., Fenwick, E., Karnon, J., Sculpher, M., & Paltiel, A. (2012). Model parameter estimation and uncertainty analysis: A report of the ISPOR-SMDM modeling good research practices task force-6. Medical Decision Making, 32(5), 722-732. This article describes best practices for estimating model parameters and for performing sensitivity analyses, including probabilistic sensitivity analysis.
2. Caro, J., Briggs, A., Siebert, U., & Kuntz, K. (2012). Modeling good research practices - overview: A report of the ISPOR-SMDM modeling good research practices task force-1. Value in Health, 15, 796-803. This paper is an introduction to a series of papers that describe best modeling practices.
3. Gold, M. R., Siegel, J. E., Russell, L. B., & Weinstein, M. C. (1996). Cost effectiveness in health and medicine. New York: Oxford University Press. This book provides authoritative guidelines for the conduct of cost-effectiveness analyses. Chapter 4 discusses approaches for valuing health outcomes.
4. Hunink, M., Glasziou, P., Siegel, J., Weeks, J., Pliskin, J., Einstein, A., & Weinstein, M. (2001). Decision making in health and medicine. Cambridge: Cambridge University Press. This textbook addresses in detail most of the topics introduced in this chapter.
5. Nease, R. F., Jr., & Owens, D. K. (1997). Use of influence diagrams to structure medical decisions. Medical Decision Making, 17(13), 263-275. This article provides a comprehensive introduction to the use of influence diagrams.
6. Owens, D. K., Schacter, R. D., & Nease, R. F., Jr. (1997). Representation and analysis of medical decision problems with influence diagrams. Medical Decision Making, 17(3), 241-262. This article provides a comprehensive introduction to the use of influence diagrams.
7. Raiffa, H. (1970). Decision analysis: Introductory lectures on choices under uncertainty. Reading: Addison-Wesley. This now classic book provides an advanced, nonmedical introduction to decision analysis, utility theory, and decision trees.
8. Sox, H. C. (1986). Probability theory in the use of diagnostic tests. Annals of Internal Medicine, 104(1), 60-66. This article is written for clinicians; it contains a summary of the concepts of probability and test interpretation.
9. Sox, H. C., Higgins, M. C., & Owens, D. K. (2013). Medical decision making. Chichester: Wiley-Blackwell. This introductory textbook covers the subject matter of this chapter in greater detail, as well as discussing many other topics.
10. Tversky, A., & Kahneman, D. (1974). Judgment under uncertainty: Heuristics and biases. Science, 185, 1124. This now classic article provides a clear and interesting discussion of the experimental evidence for the use and misuse of heuristics in situations of uncertainty.