1985
DOI: 10.1016/s0002-9378(85)80031-4
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Diagnostic tests in obstetrics: A method for improved evaluation

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Cited by 89 publications
(38 citation statements)
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“…We used the method of Bickel and Docksum [12] to calculate the risk of overlooking an endometrial abnormality if a certain endometrial thickness was used as the cut-off limit. A receiver-operator characteristic curve was drawn to determine which cut-off level of endometrial thickness best discriminated between normal and abnormal endometrium [13] .…”
Section: Discussionmentioning
confidence: 99%
“…We used the method of Bickel and Docksum [12] to calculate the risk of overlooking an endometrial abnormality if a certain endometrial thickness was used as the cut-off limit. A receiver-operator characteristic curve was drawn to determine which cut-off level of endometrial thickness best discriminated between normal and abnormal endometrium [13] .…”
Section: Discussionmentioning
confidence: 99%
“…Receiver operating characteristic curves (ROC curves) were generated with the Statistical Package for the Social Sciences (SPSS Inc., Chicago, IL, USA, 1989 -99) and GraphROC for Windows (downloaded from http:// members.tripod.com/refstat/). These curves were used to determine if cut-off values other than those suggested in the original publications 4,5 had better diagnostic properties 11 . The GraphROC for Windows software enabled statistical testing of ROC curves by comparing the areas under the graphs 12 .…”
Section: Pelvic Tumorsmentioning
confidence: 99%
“…The application of the regression equation to data from each woman gave the probability for that woman to go into spontaneous labor > 24 h or > 48 h, and to deliver > 48 h or > 60 h, the estimated probability ranging from 0 to 1. Receiver-operating characteristics (ROC) curves 14 were drawn for each diagnostic test (i.e. Bishop score, cervical length and the logistic regression models) to evaluate its diagnostic ability.…”
Section: Discussionmentioning
confidence: 99%
“…The statistical significance of a difference in the area under the ROC curve between the different diagnostic tests was determined as described by Hanley and McNeil 15,16 using a customized computer program written in MATLAB (Version 6.5.0.180913a Release 13) designed by one of the co-authors (F. de S.). The ROC curves were also used to determine the mathematically best cut-off value for each diagnostic test, the best cut-off value being defined as the one corresponding to the point on the ROC curve situated furthest away from the reference line 14 . The sensitivity, false-positive rate, and positive and negative likelihood ratios of the mathematically best cut-off values with regard to predicting onset of labor > 24 h and > 48 h, and delivery > 48 h and > 60 h were also calculated.…”
Section: Discussionmentioning
confidence: 99%