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Incontinence Quiz (IQ): Translation, Cross-Cultural Adaptation, and Psychometric Validation of the French Version. [PDF]
Healthcare (Basel)Ribeiro A +4 more
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The validity of the postcoital test
American Journal of Obstetrics and Gynecology, 1990Opinion is divided on the clinical usefulness of the postcoital (Sims-Huhner) test in diagnosing infertility. To evaluate the validity of this test, we reviewed the world's literature in English and calculated four indexes of validity for each study with sufficient information. The sensitivity of the test ranged from 0.09 to 0.71, specificity from 0.62
C S, Griffith, D A, Grimes
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The Validity of the Atropine Test
Gynecologic Investigation, 2010In order to evaluate the clinical validity of the so-called ‘atropine test’, it has been performed in 83 women in their 35th to 43rd week of pregnancy. A statistical evaluation of the data has shown a serious limitation of both diagnostic and prognostic possibilities of the test; this can be attributed to the great variability of maternal environments.
CARLOMAGNO, Giorgio +3 more
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Assessment, 2008
Common rates employed in classificatory testing are the true positive rate (TPR), false positive rate (FPR), positive predictive power (PPP), and negative predictive power (NPP). FPR and TPR are estimated from research samples representing populations to be distinguished by classificatory testing.
Richard I, Frederick, Stephen C, Bowden
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Common rates employed in classificatory testing are the true positive rate (TPR), false positive rate (FPR), positive predictive power (PPP), and negative predictive power (NPP). FPR and TPR are estimated from research samples representing populations to be distinguished by classificatory testing.
Richard I, Frederick, Stephen C, Bowden
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Infection Control & Hospital Epidemiology, 1991
Tests may provide valuable information for identification or prediction functions. Examples include disease diagnosis and staging, therapeutic outcome prediction, outbreak detection, infection control policy compliance monitoring, and other quality assurance monitoring.
D, Birnbaum, S B, Sheps
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Tests may provide valuable information for identification or prediction functions. Examples include disease diagnosis and staging, therapeutic outcome prediction, outbreak detection, infection control policy compliance monitoring, and other quality assurance monitoring.
D, Birnbaum, S B, Sheps
openaire +2 more sources