ROC curve and AUC value of all models. by Tiago de Oliveira Barreto (20485207)

“…As for Specificity (82.94%) and ROC-AUC (82.13%), the Multilayer Perceptron with SGD optimizer obtained the highest scores. …”

TITAN decreaser diatom heatmap. by Brent J. Bellinger (21156150)

TITAN decreaser macroinvertebrate heatmap Heatmap of sensitive (i.e., <i>z-</i>) macroinvertebrate taxa (y-axis) to at least one of the five stressors, in decreasing order of numbe... by Brent J. Bellinger (21156150)

iKIR score decreases protection associated with protective class II genotypes in T1D. by Laura Mora-Bitria (20477525)

TITAN increaser macroinvertebrate heatmap Heatmap of tolerant (i.e., <i>z</i>+) macroinvertebrate taxa (y-axis) to at least one of the five stressors, in decreasing order of number... by Brent J. Bellinger (21156150)

Validation of genetic markers for risk of OA or knee OA for decrease in minJSW. by Mieke L. M. Bentvelzen (21594442)

“…<p><b>(A)</b> Manhattan plot of minJSW decrease at 24 months. The Manhattan plots show the -log10(P) values of all ~ 1,5 million SNPs against their position. …”

Analysis of the Nugent score before (T=0) and after (T=1) the use of the vaginal gel. Number of participants and respective percentages of Nugent scores before and after the intervention. A statistically significant decrease in Nugent scores was observed after the intervention (p value =0.0047). by Adriana Bittencourt Campaner (21175462)

“…Number of participants and respective percentages of Nugent scores before and after the intervention. A statistically significant decrease in Nugent scores was observed after the intervention (p value =0.0047).…”

Cronbach’s reliability values of IBD-KID2 and the correlation coefficients between item scores and total scores. by HaiQun Huang (20978503)

Plots of FEV₁ (upper left), FVC (upper right), TLC (lower left) and TLCO (lower right) values expressed in % pred. (<i>y</i>-axis) against <i>z</i>-scores (<i>x</i>-axis... by Piotr W. Boros (21446186)

The ROC curves and AUC values of the diagnostic model. by Zhe Wu (582498)

Change^a in incidence of repetition according to a one-unit change in the initial value of the height-for-age z-score. by Rabi Joël Gansaonré (20416803)

Change^a in incidence of dropout according to a one-unit change in the initial value of the height-for-age z-score. by Rabi Joël Gansaonré (20416803)

AUC of various models to predict imeglimin efficacy for liver function evaluated by ROC curves. by Naruyoshi Gyoutoku (22537831)

Subjects:

Change^a in years of age at school entry according to a one-unit change in the initial value of the height-for-age z-score. by Rabi Joël Gansaonré (20416803)

Means scores of CAM and CAM-MYCS. by Senay Yildirim-Kahriman (22693464)

Subjects:

Study 1_CFA1. by Chen-Yueh Chen (9740047)

“…Findings from Analysis of Covariance (ANCOVA) in Study II indicate that in Experiment I, positive electronic word of mouth does not help improve value co-creation among spectators while negative electronic word of mouth does decrease value co-creation among spectators. …”

Study 1_EFA. by Chen-Yueh Chen (9740047)

“…Findings from Analysis of Covariance (ANCOVA) in Study II indicate that in Experiment I, positive electronic word of mouth does not help improve value co-creation among spectators while negative electronic word of mouth does decrease value co-creation among spectators. …”

EVs from infected neurons alter astrocyte gene expression and decrease GLT-1 protein expression. by Emily Z. Tabaie (16630841)

Area under the ROC Curve (AUC) analysis to predict AIS conversion at 6-months and 1-year following acute cervical tSCI. by Harshit Arora (22008280)

Area under the ROC curve (AUC) analysis to predict neurological severity at 6-months and 1-year following acute cervical tSCI. by Harshit Arora (22008280)