The DOI matches its Crossref record; 23 of the 23 references it cites were found in a registry or an index.
Decision Making in Health and Medicine: Integrating Evidence and Values
Abstract
Decision making in health care involves consideration of a complex set of diagnostic, therapeutic and prognostic uncertainties. Medical therapies have side effects, surgical interventions may lead to complications, and diagnostic tests can produce misleading results. Furthermore, patient values and service costs must be considered. Decisions in clinical and health policy require careful weighing of risks and benefits and are commonly a trade-off of competing objectives: maximizing quality of life vs maximizing life expectancy vs minimizing the resources required. This text takes a proactive, systematic and rational approach to medical decision making. It covers decision trees, Bayesian revision, receiver operating characteristic curves, and cost-effectiveness analysis, as well as advanced topics such as Markov models, microsimulation, probabilistic sensitivity analysis and value of information analysis. It provides an essential resource for trainees and researchers involved in medical decision modelling, evidence-based medicine, clinical epidemiology, comparative effectiveness, public health, health economics, and health technology assessment.
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“Another approach is to use within-cycle corrections (WCC).2,22”
From An Introductory Tutorial on Cohort State-Transition Models in R Using a Cost-Effectiveness Analysis Example (2023) · cites this paper as [22]
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Cites
Prospect Theory: An Analysis of Decision under Risk
Kahneman, D., & Tversky, A. (1979) · Econometrica · doi:10.2307/1914185 · Cited by 48,524
Meta-analysis in clinical trials
DerSimonian, R., & Laird, N. (1986) · Controlled Clinical Trials · doi:10.1016/0197-2456(86)90046-2 · Cited by 39,552
An inventory for measuring depression
BECK, A. T. (1961) · Archives of General Psychiatry · doi:10.1001/archpsyc.1961.01710120031004 · Cited by 38,032
Cochrane Handbook for Systematic Reviews of Interventions: Cochrane Book Series
(2008) · doi:10.1002/9780470712184 · Cited by 25,048
The Framing of Decisions and the Psychology of Choice
Tversky, A., & Kahneman, D. (1981) · Science · doi:10.1126/science.7455683 · Cited by 18,497
EuroQol: a new facility for the measurement of health-related quality of life
(1990) · Health Policy · doi:10.1016/0168-8510(90)90421-9 · Cited by 15,736
Methods for the Economic Evaluation of Health Care Programmes
Drummond, M. E., Sculpher, M. J., Torrance, G. W., O’Brien, B. J., & Stoddart, G. L. (2005) · doi:10.1093/oso/9780198529446.001.0001 · Cited by 13,648
Self-citationThe file drawer problem and tolerance for null results.
Rosenthal, R. (1979) · Psychological Bulletin · doi:10.1037/0033-2909.86.3.638 · Cited by 9,068
Anomalies: The Endowment Effect, Loss Aversion, and Status Quo Bias
Kahneman, D., Knetsch, J. L., & Thaler, R. H. (1991) · Journal of Economic Perspectives · doi:10.1257/jep.5.1.193 · Cited by 5,019
The Handbook of Research Synthesis and Meta-Analysis
(2019) · doi:10.7758/9781610448864 · Cited by 4,553
Global mortality, disability, and the contribution of risk factors: Global Burden of Disease Study
Murray, C. J., & Lopez, A. D. (1997) · The Lancet · doi:10.1016/s0140-6736(96)07495-8 · Cited by 4,492
Regret Theory: An Alternative Theory of Rational Choice Under Uncertainty
Loomes, G., & Sugden, R. (1982) · The Economic Journal · doi:10.2307/2232669 · Cited by 4,042
Analysis of probability as an aid in the clinical diagnosis of coronary artery disease.
Diamond, G. A., & Forrester, J. S. (1979) · New England Journal of Medicine · doi:10.1056/nejm197906143002402 · Cited by 2,664
Recommendations of the Panel on Cost-Effectiveness in Health and Medicine
Weinstein, M. C. (1996) · JAMA: The Journal of the American Medical Association · doi:10.1001/jama.1996.03540150055031 · Cited by 2,455
Self-citationConducting Discrete Choice Experiments to Inform Healthcare Decision Making: A User??s Guide
Lancsar, E., & Louviere, J. (2008) · PharmacoEconomics · doi:10.2165/00019053-200826080-00004 · Cited by 1,707
Publication prejudices: An experimental study of confirmatory bias in the peer review system
Mahoney, M. J. (1977) · Cognitive Therapy and Research · doi:10.1007/bf01173636 · Cited by 1,013
Probabilistic Sensitivity Analysis Using Monte Carlo Simulation: A Practical Approach
Doubilet, P., Begg, C. B., Weinstein, M. C., Braun, P., & McNeil, B. J. (1985) · Medical Decision Making · doi:10.1177/0272989x8500500205 · Cited by 860
Self-citationSurvival analysis part II: multivariate data analysis – an introduction to concepts and methods
Bradburn, M. J., Clark, T. G., Love, S. B., & Altman, D. G. (2003) · British Journal of Cancer · doi:10.1038/sj.bjc.6601119 · Cited by 741
Moher, D., Pham, B., Lawson, M., & Klassen, T. (2003) · Health Technology Assessment · doi:10.3310/hta7410 · Cited by 500
State-Transition Modeling: A Report of the ISPOR-SMDM Modeling Good Research Practices Task Force–3
Siebert, U., Alagoz, O., Bayoumi, A. M., Jahn, B., Owens, D. K., Cohen, D. J., & Kuntz, K. M. (2012) · Medical Decision Making · doi:10.1177/0272989x12455463 · Cited by 348
Markov decision processes: a tool for sequential decision making under uncertainty
Alagoz, O., Hsu, H., Schaefer, A. J., & Roberts, M. S. (2010) · Medical Decision Making · doi:10.1177/0272989x09353194 · Cited by 266
Song, F., Parekh-Bhurke, S., Hooper, L., Loke, Y. K., Ryder, J. J., Sutton, A. J., Hing, C. B., & Harvey, I. (2009) · BMC Medical Research Methodology · doi:10.1186/1471-2288-9-79 · Cited by 175
Life expectancy biases in clinical decision modeling
Kuntz, K. M., & Weinstein, M. C. (1995) · Medical Decision Making · doi:10.1177/0272989x9501500209 · Cited by 38
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Decision curve analysis: a novel method for evaluating prediction models
Vickers, A. J., & Elkin, E. B. (2006) · Medical Decision Making · doi:10.1177/0272989x06295361 · Cited by 6,341
A simple, step-by-step guide to interpreting decision curve analysis
Vickers, A. J., van Calster, B., & Steyerberg, E. W. (2019) · Diagnostic and Prognostic Research · doi:10.1186/s41512-019-0064-7 · Cited by 1,174
Systematic Reviews of Diagnostic Test Accuracy
Leeflang, M. M. G., Deeks, J. J., Gatsonis, C., & Bossuyt, P. M. M. (2008) · Annals of Internal Medicine · doi:10.7326/0003-4819-149-12-200812160-00008 · Cited by 1,124
A tutorial on sensitivity analyses in clinical trials: the what, why, when and how
Thabane, L., Mbuagbaw, L., Zhang, S., Samaan, Z., Marcucci, M., Ye, C., Thabane, M., Giangregorio, L., Dennis, B., Kosa, D., et al. (2013) · BMC Medical Research Methodology · doi:10.1186/1471-2288-13-92 · Cited by 893
State-Transition Modeling: A Report of the ISPOR-SMDM Modeling Good Research Practices Task Force-3
Siebert, U., Alagoz, O., Bayoumi, A. M., Jahn, B., Owens, D. K., Cohen, D. J., & Kuntz, K. M. (2012) · Value in Health · doi:10.1016/j.jval.2012.06.014 · Cited by 495
Metadata
- Authors
- Hunink, M. G. M., Weinstein, M. C., Wittenberg, E., Drummond, M. F., Pliskin, J. S., Wong, J. B., & Glasziou, P. P.
- Affiliations
- Erasmus University Rotterdam (NL)
- Harvard University (US)
- University of York (GB)
- Ben-Gurion University of the Negev (IL)
- Tufts University (US)
- Bond University (AU)
- ORCID
- Venue
- Cambridge University Press eBooks
- Publisher
- Cambridge University Press
- Published
- 2014-10-05
- OpenAlex
- W3023658191
- Cited by
- 425
- References
- 0
- Citations by year
- 2026: 17 · 2025: 25 · 2024: 17 · 2023: 23 · 2022: 37 · 2021: 37 · 2020: 35 · 2019: 22 · 2018: 24 · 2017: 18 · 2016: 17 · 2015: 17 · 2014: 20
- FWCI
- 31.10
- Type
- book
- Language
- en
- Open access
- closed
- Locations
- Cambridge University Press eBooks (publishedVersion)
- Topics
- Social Sciences › Economics, Econometrics and Finance › Economics and Econometrics › Health Systems, Economic Evaluations, Quality of Life
- Health Sciences › Medicine › Family Practice › Clinical Reasoning and Diagnostic Skills
- Physical Sciences › Mathematics › Statistics and Probability › Statistical Methods in Epidemiology
- Keywords
- clinical decision-making, clinical decision analysis, decision tree, receiver operating characteristic, cost-effectiveness analysis, Markov model, microsimulation, probabilistic sensitivity analysis, value of information analysis, health policy, risk-benefit trade-off, diagnostic uncertainty, treatment side effects, health economics, health technology assessment
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