Making Diagnostic Strategies in Medical Practice with the Use of Bayes’ Theorem (in Polish)
Article Sidebar
Main Article Content
Abstract
The paper will compare two methods used in the design of diagnostic strategies. The first one is a method that precises predictive value of diagnostic tests. The second one is based on the use of Bayes’ theorem. The main aim of this article is to identify the epistemological assumptions underlying both of these methods. For the purpose of this objective, example projects of one and multi-stage diagnostic strategy developed using both methods will be considered.
Downloads
Article Details
References
Ajdukiewicz K. (1975), Logika pragmatyczna, PWN, Warszawa.
View in Google Scholar
Caraguel C.B.G., Vanderstichel R. (2013), The two step Fagan’s nomogram: ad hoc interpretation of a diagnostic test result without calculation, „Evidence Based Medicine” 18 (4): 125–128.
View in Google Scholar
Diamond G.A., Forrester J.S. (1979), Analysis of probability as an aid in the clinical diagnosis of coronary artery disease, „New England Journal of Medicine” 300 (24): 1350–1358.
View in Google Scholar
Dujardin B., van den Ende J., van Gompel A., Unger J.P., van der Stuyft P (1994), Likelihood ratios: a real improvement for clinical decision making, „European Journal of Epidemiology” 10 (1): 29–36.
View in Google Scholar
Enøe C., Georgiadis M.P., Johnson W.O. (2000), Estimation of sensitivity and specificity of diagnostic tests and disease prevalance when the true disease state is unknown, „Preventive Veterinary Medicine” 45 (1–2): 61–81.
View in Google Scholar
Fagan T.J. (1975), Nomogram for Bayes's theorem, „New England Journal of Medicine” 293 (5): 257.
View in Google Scholar
Fine T. (1973), Theories of Probability. An Examination of Foundation, Waltham.
View in Google Scholar
Gigerenzer G., Hoffrage U. (1995), How to Improve Bayesian Reasonig Without Instruction: Frequency Formats, „Psychological Review” 102 (4): 684–704.
View in Google Scholar
Gillies D. (2000), Philosophical Theories of Probability, Routledge, London.
View in Google Scholar
Goodman S.N. (1999), Toward Evidence-Based Medical Statistics. 1: The P-Value Fallacy, „Annals of Internal Medicine” 130 (12): 995–1004.
View in Google Scholar
Halkin A., Reichman J., Schwaber M., Paltiel O., Brezis M. (1998), Likelihood ratios: getting diagnostic testing into perspective, „QJM: An International Journal of Medicine” 91 (4): 247–258.
View in Google Scholar
Howson C., Urbach P. (2006), Scientific Reasoning. The Bayesian Approach, Open Court Publishing Company, Chicago, La Salle.
View in Google Scholar
Hui S.L., Zhou X.H. (1998), Evaluation of diagnostic tests without gold standards, „Statistical Methods in Medical Research” 7 (4): 354–370.
View in Google Scholar
Jaeschke R., Cook D.J., Guyatt G.H. (1998), Evidence based medicine (EBM), czyli praktyka medyczna oparta na wiarygodnych i aktualnych publikacjach (POWAP), „Medycyna Praktyczna” 10 (92): 156–159.
View in Google Scholar
Jędrychowski W. (1999), Epidemiologia. Wprowadzenie i metody badań, Wydawnictwo Lekarskie PZWL, Warszawa.
View in Google Scholar
Jędrychowski W. (2002), Podstawy epidemiologii, Wydawnictwo Uniwersytetu Jagiellońskiego, Kraków.
View in Google Scholar
Joseph L., Gyorkos T.W., Coupal L. (1995), Bayesian estimation of disease prevalance and the parameters of diagnostic tests in the absence of gold standard, „American Journal of Epidemiology” 141 (3): 263–272.
View in Google Scholar
Moons K.G., van Es G.A., Deckers W., Habbema J.D., Grobbee D.E. (1997), Limitations of sensitivity, specificity, likelihood ratio, and bayes’ theorem in assesing diagnostic probabilities: a clinical example, „Epidemiology” 8 (1): 12–17.
View in Google Scholar
Naskalski J. (2005), Pojęcie normy, wartości referencyjnych i ich znaczenie dla formułowania diagnozy, [w:] Diagnostyka laboratoryjna z elementami biochemii klinicznej, A. Dembińska-Kieć, J. Naskalski (red.), Urban i Partner, Wrocław: 47–57.
View in Google Scholar
Paulo S., Mendes S., Vizinho R., Carneiro A.V. (2004), Diagnostic testing, pre- and post-test probabilities, and their use in clinical practice, „Revista Portuguesa de Cardiologia” 23 (9): 1187–1198.
View in Google Scholar
Rzepiński T. (2016), Konstruowanie typologii i klasyfikacji wielowymiarowych dla potrzeb diagnostyki medycznej, „Zagadnienia Naukoznawstwa” 2 (208): 199–218.
View in Google Scholar
Sak J. (2013), Wielowymiarowość postrzegania choroby w kontekście przekonań zdrowotnych i poczucia sensu życia, Perfecta Info, Lublin.
View in Google Scholar
Steurer J. (2009), Pre-test and post-test probabilities. Who cares?, „Therapeutische Umschau” 66 (1): 5–7.
View in Google Scholar
Winkler R.L., Smith J.E. (2004), On uncertainty in medical testing, „Medical Decision Making” 24 (6): 654–658
View in Google Scholar
Wulff H.R., Gøtzsche P.C. (2005), Racjonalna diagnoza i leczenie. Wprowadzenie do medycyny wiarygodnej czyli Evidence-Based Medicine, AKTIS, Łódź.
View in Google Scholar