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Marcus J. Colby, Brian Dawson, Peter Peeling, Jarryd Heasman, Brent Rogalski, Michael K. Drew and Jordan Stares

used to assess the accuracy of predicted probability from each model, with area under curve (AUC) comparisons to determine the best time frame undertaken using the “jack-knife method” (a nonparametric estimate for variance comparisons 28 ), with Šidák correction to account for multiple comparisons

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Kevin C. Miller, Brendon P. McDermott and Susan W. Yeargin

identified area under curve and significant prediction based on Fisher’s exact test ( p  < .01). Subsequently, cut point values for variables were determined based on adequate balance between sensitivity and 1-specificity in the software-generated coordinate chart. Then, we dichotomized athletes as a 1

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Ali M. McManus, Nathan R. Sletten and Daniel J. Green

; HIIE, high-intensity interval exercise; FMD, flow-mediated dilation; MISS, moderate-intensity steady-state exercise; OSI, oscillatory shear index; SFA, superficial femoral artery; SR AUC, shear rate area under curve. Note: Data are presented as mean (SD). Main effects for Time and Time × intensity

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Nicole C.A. Strock, Kristen J. Koltun, Emily A. Southmayd, Nancy I. Williams and Mary Jane De Souza

factor between nmol/L and ng/dl is 0.0153. sMD = subclinical menstrual disturbance; RMR = resting metabolic rate; DXA = dual-energy X-ray absorptiometry; EA = energy availability; TT 3  = total triiodothyronine; E1G = estrone-1-glucuronide; AUC = area under curve; PdG = pregnanediol glucuronide; EDI

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Ricardo J.S. Costa, Vera Camões-Costa, Rhiannon M.J. Snipe, David Dixon, Isabella Russo and Zoya Huschtscha

significantly increased at 3 hr of postexercise for CM and W (Figure  3 ). No trial difference in area under curve was observed for breath H 2 concentration (CM: 1,249 [314, 2,179] ppm/3 hr and W: 1,188 [565, 1,812]ppm/3 hr; p  = .878). Figure 3 —Breath H 2 in response to 2-hr running exercise at 70% V ˙ O

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to anticipate and prevent hypoglycemia via adjustments in carbohydrate intakes and/or insulin doses. The strategies that prevented hypoglycemia were then applied to accomplish the Paris Marathon. CGM data were recorded during each PR and Marathon. Primary outcome was the area under curve (AUC < 70

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Dinesh John, Qu Tang, Fahd Albinali and Stephen Intille

MIMS-units for a single axis is additive, where aggregated values from shorter epochs can be summed to yield aggregations from longer epochs. The additive property allows an estimation of both total movement and movement intensity. Thus, we choose area under curve instead of the Euclidean norm for

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), and rating of perceived health (624). Overall prediction accuracy after cross-validation was higher in boys (Area under curve (AUC): 0.54−0.59) than in girls (AUC: 0.46−0.48) but remained poor in both genders. Prediction performances were fairly similar in all three algorithms. Discussion: The main