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Research paper

MULTINOMIAL LOGISTIC REGRESSION APPROACH FOR THE EVALUATION OF BINARY DIAGNOSTIC TEST IN MEDICAL RESEARCH

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

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

Statistics in Transition New Series , ISSUE 2, 203–222

Research Article

Utility of Doppler parameters at 36–42 weeks’ gestation in the prediction of adverse perinatal outcomes in appropriate-for-gestational-age fetuses

values of MCA PI (1.27 vs. 1.34), MCA PI MoM (1.00 vs. 1.05), CPR (1.62 vs. 1.73), EFW (3479.53 g vs. 3579.25 g) and birth weight (3513.50 g vs. 3617.79 g). For CPR cut-off point of 1.08: sensitivity was (0.945), specificity 0.1, positive predictive values 0.979, negative predictive values 0.04 and accuracy 0.926. The ROC curves for CPR were: area under the curve was 0.52 at CI 95% (0.342–0.698), p = 0.8271.ConclusionScreening in pregnancies with appropriate-for-gestational-age fetuses at 36–42 weeks

Michał Migda, Katarzyna Gieryn, Bartosz Migda, Marian Stanisław Migda, Marek Maleńczyk

Journal of Ultrasonography , ISSUE 72, 22–28

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