Heterogeneous uncertainties in cholesterol management

International Journal of Approximate Reasoning

Volumn 50, Issue 7, 2009, Pages 1046-1065

  Ben Haim, Yakov ^a   Dacso, Clifford C ^b   Carrasco, Jonathon ^c   Rajan, Nithin ^c  

^a TECHNION ISRAEL INSTITUTE OF TECHNOLOGY   (Israel)

^b UNIVERSITY OF HOUSTON   (United States)

^c Abramson Center for the Future of Health   (United States)

Author keywords

Cholesterol management; Clinical guidelines; Info gap decision theory; Judgment under uncertainty; Patient satisfaction

Indexed keywords

ALTERNATIVE THERAPY; BEST ESTIMATES; CHOLESTEROL LEVELS; CLINICAL GUIDELINE; CLINICAL GUIDELINES; DECISION FUNCTIONS; EXPECTED UTILITY; FINANCIAL COSTS; INFO-GAP; INFO-GAP DECISION THEORY; INFO-GAP MODEL; JUDGMENT UNDER UNCERTAINTY; PATIENT SATISFACTION; PROBABILISTIC INFORMATION; VERSATILE TOOLS;

CHOLESTEROL; DECISION THEORY; GAME THEORY; UNCERTAINTY ANALYSIS;

DECISION MAKING;

EID: 67549127093     PISSN: 0888613X     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.ijar.2009.04.002     Document Type: Article

References (56)

1. Hacking I. The Emergence of Probability: A Philosophical Study of Early Ideas About Probability, Induction and Statistical Inference (1975), Cambridge University Press
2. Ekeland I. Mathematics and the Unexpected (1988), University of Chicago Press
3. Klir G.J. Uncertainty and Information: Foundations of Generalized Information Theory (2006), Wiley Publishers
4. John A. Wheeler, quoted in Scientific American, December 1992, p. 20.
5. Ben-Haim Y. Info-Gap Decision Theory: Decisions Under Severe Uncertainty. second ed. (2006), Academic Press, London
6. Klir G.J. Generalized information theory: aims, results and open problems. Reliability Engineering and System Safety 85 (2004) 21-38
7. NGC, National Guideline Clearinghouse. , 2007.
8. Mehta R.H., Peterson E.D., and Califf R.M. Performance measures have a major effect on cardiovascular outcomes: a review. American Journal of Medicine 120 (2007) 398-402
9. Frei C.R., Restrepo M.I., Mortensen E.M., and Burgess D.S. Impact of guideline-concordant empiric antibiotic therapy in community-acquired pneumonia. American Journal of Medicine 119 (2006) 865-871
10. Cabana M.D., Rand C.S., Powe N.R., et al. Why don't physicians follow clinical practice guidelines? A framework for improvement. Journal of the American Medical Association 282 (1999) 1458-1465
11. Hening W.A. Current guidelines and standards of practice for restless legs syndrome. American Journal of Medicine 120 1 (Suppl. 1) (2007) S22-S27
12. Greenfield S., Kravitz R., Duan N., and Kaplan S.H. Heterogeneity of treatment effects: implications for guidelines, payment, and quality assessment. American Journal of Medicine 120 4 (Suppl. 1) (2007) S3-S9
13. Feinstein A.R., and Horwitz R.I. Problems in the "evidence" of "evidence-based medicine". American Journal of Medicine 103 (1997) 529-535
14. Morimoto T., Fukui T., Lee T.H., and Matsui K. Application of U.S. guidelines in other countries: aspirin for the primary prevention of cardiovascular events in Japan. American Journal of Medicine 117 (2004) 459-468
15. McLaughlin M.J., and For the members of the HTE Policy Roundtable Panel. Healthcare policy implications of heterogeneity of treatment effects. American Journal of Medicine 120 (2007) S32-S35
16. Lobach D.F., and Hammond W.E. Computerized decision support based on a clinical practice guideline improves compliance with care standards. American Journal of Medicine 102 (1997) 89-98
17. Burgman M. Risks and Decisions for Conservation and Environmental Management (2005), Cambridge University Press, Cambridge
18. Regan H.M., Ben-Haim Y., Langford B., Wilson W.G., Lundberg P., Andelman S.J., and Burgman M.A. Robust decision making under severe uncertainty for conservation management. Ecological Applications 15 (2005) 1471-1477
19. McCarthy M.A., and Lindenmayer D.B. Info-gap decision theory for assessing the management of catchments for timber production and urban water supply. Environmental Management 39 (2007) 553-562
20. Carmel Y., and Ben-Haim Y. Info-gap robust-satisficing model of foraging behavior: do foragers optimize or satisfice?. American Naturalist 166 (2005) 633-641
21. Fox D.R., Ben-Haim Y., Hayes K.R., McCarthy M., Wintle B., and Dunstan P. An info-gap approach to power and sample size calculations. Environmetrics 18 (2007) 189-203
22. Moffitt L.J., Stranlund J.K., and Field B.C. Inspections to avert terrorism: robustness under severe uncertainty. Journal of Homeland Security and Emergency Management (2005).
23. Kanno Y., and Takewaki I. Robustness analysis of trusses with separable load and structural uncertainties. International Journal of Solids and Structures 43 (2006) 2646-2669
24. Kanno Y., and Takewaki I. Sequential semidefinite program for maximum robustness design of structures under load uncertainty. Journal of Optimization Theory and Applications 130 (2006) 265-287
25. Pantelides C.P., and Ganzerli S. Design of trusses under uncertain loads using convex models. ASCE Journal of Structural Engineering 124 (1998) 318-329
26. Ganzerli S., and Pantelides C.P. Optimum structural design via convex model superposition. Computers and Structures 746 (2000) 639-647
27. Lindberg H.E. Dynamic response and buckling failure measures for structures with bounded and random imperfections. ASME Journal of Applied Mechanics 58 (1991) 1092-1094
28. Pierce S.G., Ben-Haim Y., Worden K., and Manson G. Evaluation of neural network robust reliability using information-gap theory. IEEE Transactions on Neural Networks 17 (2006) 1349-1361
29. Ben-Haim Y., and Laufer A. Robust reliability of projects with activity-duration uncertainty. ASCE Journal of Construction Engineering and Management 124 (1998) 125-132
30. Regev S., Shtub A., and Ben-Haim Y. Managing project risks as knowledge gaps. Project Management Journal 37 (2006) 17-25
31. Berleant D., Andrieu L., Argaud J.-P., Barjon F., Cheong M.-P., Dancre M., Sheble G., and Teoh C.-C. Portfolio management under epistemic uncertainty using stochastic dominance and information-gap theory. International Journal of Approximate Reasoning 49 1 (2008) 101-116
32. Ben-Haim Y., and Hipel K.W. The graph model for conflict resolution with information-gap uncertainty in preferences. Applied Mathematics and Computation 126 (2002) 319-340
33. Wilson P.W.F., D'Agostino R.B., Levy D., Belanger A.M., Silbershatz H., and Kannel W.B. Prediction of Coronary Heart Disease. Circulation 97 18 (1998) 1837-1847
34. Brindle P.M., McConnachie A., Upton M.N., Hart C.L., Smith G.D., and Watt G.C.M. The accuracy of the Framingham risk-score in different socioeconomic groups: a prospective study. British Journal of General Practice 55 (2005) 838-845
35. Kostis J.B. A new approach to primary prevention of cardiovascular disease. American Journal of Medicine 120 (2007) 746-747
36. Robson J. Information needed to decide about cardiovascular treatment in primary care. British Medical Journal 314 (1997) 277-283
37. Grundy S.M., Cleeman J.I., Merz C.N.B., Brewer Jr. H.B., Clark L.T., Hunninghake D.B., Pasternak R.C., Smith Jr. S.C., Neil J., and Stone N.J. Implications of recent clinical trials for the national cholesterol education program adult treatment panel III guidelines. Circulation 110 (2004) 227-239
38. Gómez M., Bielza C., Fernàndez del Pozo J.A., and Ríos-Insua S. A graphical decision-theoretic model for neonatal jaundice. Medical Decision Making 27 (2007) 250-265
39. Keeney R.L., and Raiffa H. Decisions with Multiple Objectives: Preferences and Value Tradeoffs (1993), Cambridge University Press, New York
40. Keeney R.L. Value Focussed Thinking (1992), Harvard University Press, Boston
41. Ben-Haim Y. Set-models of information-gap uncertainty: axioms and an inference scheme. Journal of the Franklin Institute 336 (1999) 1093-1117
42. Chan P.S., Nallamothu B.K., Gurm H.S., Hayward R.A., and Vijan S. Incremental benefit and cost-effectiveness of high-dose statin therapy in high-risk patients with coronary artery disease. Circulation 115 (2007) 2398-2409
43. Davie A.P., and McMurray J.J.V. Editorial. European Heart Journal 17 (1996) 974-975
44. Mark D.B., and Hlatky M.A. Medical economics and the assessment of value in cardiovascular medicine: part II. Circulation 106 (2002) 626-630
45. Berger J.O. Statistical Decision Theory: Foundations, Concepts, and Methods (1980), Springer Verlag, New York
46. C. Keren, Info-Gap Bayesian Classification, M.Sc. thesis, Technion-Israel Institute of Technology, 2008.
47. Good I.J. Good Thinking: The Foundations of Probability and its Applications (1983), University of Minnesota Press, Minneapolis
48. Levi I. Ignorance, probability and rational choice. Synthese 53 (1982) 387-417
49. Schwartz B. Paradox of Choice: Why More is Less (2004), Harper Perennial, New York
50. Y. Ben-Haim, Info-gap forecasting and the advantage of sub-optimal models, European Journal of Operational Research, in press.
51. Wald A. Statistical decision functions which minimize the maximum risk. The Annals of Mathematics 46 2 (1945) 265-280
52. Y. Ben-Haim, Q.F. Akram, Ø. Eitrheim, Monetary policy under uncertainty: min-max vs. robust-satisficing strategies, Norges Bank Working Papers, ANO 2007/6, 2007.
53. Walley P. Measures of uncertainty in expert systems. Artificial Intelligence 83 (1996) l-58
54. Ferson S. RAMAS Risk Calc 4.0 Software: Risk Assessment with Uncertain Numbers (2002), Lewis Publishers, Boca Raton
55. S. Ferson, W.T. Tucker, Probability boxes as info-gap models, in: Annual Conference of the North American Fuzzy Information Processing Society (NAFIPS) 2008, Article number 4531314, 2008.
56. Miranda E. A survey of the theory of coherent lower previsions. International Journal of Approximate Reasoning 48 (2008) 628-658