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Multinomial logistic regression approach for the evaluation of binary diagnostic test in medical research

Author

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  • Angel M. Morales
  • Patrick Tarwater
  • Indika Mallawaarachchi
  • Alok Kumar Dwivedi
  • Juan B. Figueroa-Casas

Abstract

Evaluating the effect of variables on diagnostic measures (sensitivity, specificity, positive, and negative predictive values) is often of interest to clinical researchers. Logistic regression (LR) models can be used to predict diagnostic measures of a screening test. A marginal model framework using generalized estimating equation (GEE) with logit/log link can be used to compare the diagnostic measures between two or more screening tests. These individual modeling approaches to each diagnostic measure ignore the dependency among these measures that might affect the association of covariates with each diagnostic measure. The diagnostic measures are computed using joint distribution of screening test result and reference test result which generates a multinomial response data. Thus, multinomial logistic regression (MLR) is a more appropriate approach to modeling these diagnostic measures. In this study, the validity of LR and GEE approaches as compared to MLR model was assessed for modeling diagnostic measures. All methods provided unbiased estimates of diagnostic measures in the absence of any covariate. LR and GEE methods produced more biased estimates as compared to MLR approach especially for small sample size studies. No bias was obtained in predicting sensitivity measure using MLR method for one screening test. Our proposed MLR method is robust for modeling diagnostic measures of a screening test as opposed to LR method. MLR method and GEE method produced similar estimates of diagnostic measures for comparing two screening tests in large sample size studies. The proposed MLR model for diagnostic measures is simple, and available in common statistical software. Our study demonstrates that MLR method should be preferred as an alternative for modeling diagnostic measures.

Suggested Citation

  • Angel M. Morales & Patrick Tarwater & Indika Mallawaarachchi & Alok Kumar Dwivedi & Juan B. Figueroa-Casas, 2015. "Multinomial logistic regression approach for the evaluation of binary diagnostic test in medical research," Statistics in Transition new series, Główny Urząd Statystyczny (Polska), vol. 16(2), pages 203-222, June.
    • Handle: RePEc:csb:stintr:v:16:y:2015:i:2:p:203-222
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    References listed on IDEAS

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    1. Bergtold, Jason S. & Yeager, Elizabeth A. & Featherstone, Allen M., 2011. "Sample Size and Robustness of Inferences from Logistic Regression in the Presence of Nonlinearity and Multicollinearity," 2011 Annual Meeting, July 24-26, 2011, Pittsburgh, Pennsylvania 103771, Agricultural and Applied Economics Association.
    2. Vaclav Fidler & Nico Nagelkerke, 2013. "The Mantel-Haenszel Procedure Revisited: Models and Generalizations," PLOS ONE, Public Library of Science, vol. 8(3), pages 1-4, March.
    3. A. Cecile J. W. Janssens & Yazhong Deng & Gerard J. J. M. Borsboom & Marinus J. C. Eijkemans & J. Dik. F. Habbema & Ewout W. Steyerberg, 2005. "A New Logistic Regression Approach for the Evaluation of Diagnostic Test Results," Medical Decision Making, , vol. 25(2), pages 168-177, March.
    4. King, Gary & Zeng, Langche, 2001. "Logistic Regression in Rare Events Data," Political Analysis, Cambridge University Press, vol. 9(2), pages 137-163, January.
    5. Wendy Leisenring & Todd Alono & Margaret Sullivan Pepe, 2000. "Comparisons of Predictive Values of Binary Medical Diagnostic Tests for Paired Designs," Biometrics, The International Biometric Society, vol. 56(2), pages 345-351, June.
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