Journal of Clinical Epidemiology
Volume 62, Issue 12 , Pages 1301-1305 , December 2009

Correlation between serial tests made disease probability estimates erroneous

  • Carl van Walraven

      Affiliations

    • Ottawa Health Research Institute, Ottawa, Ontario, Canada
    • Department of Medicine, University of Ottawa, Ottawa, Ontario, Canada
    • Institute for Clinical Evaluative Sciences, Toronto, Ontario, Canada
    • Corresponding Author InformationCorresponding author. Ottawa Health Research Institute, ASB1-003, Ottawa Hospital, 1053 Carling Avenue, Ottawa, Ontario K1Y 4E9, Canada. Tel.: 613-761-4903; fax: 613-761-5355.
    • ,
  • Peter C. Austin

      Affiliations

    • Institute for Clinical Evaluative Sciences, Toronto, Ontario, Canada
    • ,
  • Alison Jennings

      Affiliations

    • Ottawa Health Research Institute, Ottawa, Ontario, Canada
    • Department of Medicine, University of Ottawa, Ottawa, Ontario, Canada
    • ,
  • Alan J. Forster

      Affiliations

    • Ottawa Health Research Institute, Ottawa, Ontario, Canada
    • Department of Medicine, University of Ottawa, Ottawa, Ontario, Canada

,Accepted 1 April 2009.

References 

  1. Grimes DA, Schulz KF. Refining clinical diagnosis with likelihood ratios. Lancet. 2005;365:1500–1505
  2. Wells PS, Anderson DR, Rodger M, Forgie M, Kearon C, Dreyer J, et al. Evaluation of D-dimer in the diagnosis of suspected deep-vein thrombosis. N Engl J Med. 2003;349:1227–1235
  3. Di Nisio M, Squizzato A, Rutjes AW, Buller HR, Zwinderman AH, Bossuyt PM. Diagnostic accuracy of D-dimer test for exclusion of venous thromboembolism: a systematic review. J Thromb Haemost. 2007;5:296–304
  4. Sackett DL, Haynes RB, Guyatt GH, Tugwell P. The interpretation of diagnostic data. Clinical epidemiology. A basic science for clinical medicine. Boston: Little, Brown; 1991;69–152
  5. McGee S. Diagnostic accuracy of physical findings. Evidence based physical diagnosis. St. Louis: Saunders Elsevier; 2007;3–19
  6. Chan SF, Deeks JJ, Macaskill P, Irwig L. Three methods to construct predictive models using logistic regression and likelihood ratios to facilitate adjustment for pretest probability give similar results. J Clin Epidemiol. 2008;61:52–63
  7. Holleman DR, Simel DL. Quantitative assessments from the clinical examination. How should clinicians integrate the numerous results?. J Gen Intern Med. 1997;12:165–171
  8. Knottnerus JA. Application of logistic regression to the analysis of diagnostic data: exact modeling of a probability tree of multiple binary variables. Med Decis Making. 1992;12:93–108
  9. Fan X, Felsovalyi A, Sivo SA, Keenan SC. Generating univariate random numbers in SAS. SAS for Monte Carlo studies: a guide for quantitative researchers. Cary, N.C: SAS Institute; 2001;25–59
  10. Olsson U. Maximum likelihood estimation of the polychoric correlation coefficient. Psychometrika. 1979;44:443–460
  11. Ganz DA, Bao Y, Shekelle PG, Rubenstein LZ. Will my patient fall?. JAMA. 2007;297:77–86
  12. Reid MC, Lane DA, Feinstein AR. Academic calculations versus clinical judgments: practicing physicians' use of quantitative measures of test accuracy. Am J Med. 1998;104:374–380
  13. Knottnerus JA. Diagnostic prediction rules: principles, requirements, and pitfalls. Prim Care. 1995;22:341–360
  14. Heckerling PS, Conant RC, Tape TG, Wigton RS. Reproducibility of predictor variables from a validated clinical rule. Med Decis Making. 1992;12:280–285

PII: S0895-4356(09)00159-0

doi: 10.1016/j.jclinepi.2009.04.010

Journal of Clinical Epidemiology
Volume 62, Issue 12 , Pages 1301-1305 , December 2009

Article Tools

* Image Usage & Resolution