Results 141 to 150 of about 3,642,241 (237)

Table S3. Performance metrics of species distribution models for Phylloicus species in Brazil for Bioclim, Generalized Linear Models (GLM), Support Vector Machines (SVM), Random Forest (RF), and MaxEnt algorithms with mean and standard deviation of the area under the receiver operating characteristic curve (AUC) and the true skill statistic (TSS), calculated from 100 cross-validation replicates. Abbreviations: sd, standard deviation; AUC, area under the curve; TSS, true skill statistic.

Amanda Queiroz, Rafael Pereira, Adolfo R. Calor   +2 more
openalex   +2 more sources

Receiver Operating Characteristic Curve Analysis of the Somatosensory Organization Test, Berg Balance Scale, and Fall Efficacy Scale-International for Predicting Falls in Discharged Stroke Patients. [PDF]

Int J Environ Res Public Health, 2022
Fiedorová I, Mrázková E, Zádrapová M, Tomášková H.   +3 more
europepmc   +1 more source

Balanced Hybrid Nutrient Density Score Compared to Nutri-Score and Health Star Rating Using Receiver Operating Characteristic Curve Analyses. [PDF]

Front Nutr, 2022
Drewnowski A, Gonzalez TD, Rehm CD.
europepmc   +1 more source

Nonparametric inference for the localization receiver operating characteristic curve and its extension to free-response image localization tasks [PDF]

Kaiyuan Liu, Xiao‐Hua Zhou
openalex   +1 more source

Development and Validation of a Clinical Prognostic Risk Score to Predict Early Neonatal Mortality, Ethiopia: A Receiver Operating Characteristic Curve Analysis. [PDF]

Clin Epidemiol, 2021
Gebremariam AD, Tiruneh SA, Engidaw MT, Tesfa D, Azanaw MM, Yitbarek GY, Asmare G.   +6 more
europepmc   +1 more source

Receiver operating characteristic curve analysis with non‐ignorable missing disease status [PDF]

Dingding Hu, Tao Yu, Pengfei Li
openalex   +2 more sources

Likelihood-based modeling of covariate-specific time-dependent receiver operating characteristic curves [PDF]

Ainesh Sewak, Vanda Inácio, Joanne Wuu, Michael Benatar, Torsten Hothorn   +4 more
openalex   +1 more source

PresenceAbsence: An R Package for Presence Absence Analysis [PDF]

The PresenceAbsence package for R provides a set of functions useful when evaluating the results of presence-absence analysis, for example, models of species distribution or the analysis of diagnostic tests.
Elizabeth A. Freeman, Gretchen Moisen
core  

Receiver operating characteristic curve analyses.

Orlando Laitano
openalex   +2 more sources