Statistical evaluation of medical tests
V Inácio, MX Rodríguez-Álvarez… - Annual Review of …, 2021 - annualreviews.org
In this review, we present an overview of the main aspects related to the statistical
evaluation of medical tests for diagnosis and prognosis. Measures of diagnostic …
evaluation of medical tests for diagnosis and prognosis. Measures of diagnostic …
Modeling susceptibility to forest fires in the Central Corridor of the Atlantic Forest using the frequency ratio method
RO de Santana, RC Delgado, A Schiavetti - Journal of environmental …, 2021 - Elsevier
Fire is one of the main disturbances of tropical forests. Understanding the spatial and
temporal dynamics of forest fires is of fundamental importance for the conservation of …
temporal dynamics of forest fires is of fundamental importance for the conservation of …
Characterizing and predicting post-acute sequelae of SARS CoV-2 infection (PASC) in a large academic medical center in the US
Background: A growing number of Coronavirus Disease-2019 (COVID-19) survivors are
affected by post-acute sequelae of SARS CoV-2 infection (PACS). Using electronic health …
affected by post-acute sequelae of SARS CoV-2 infection (PACS). Using electronic health …
[图书][B] ROC analysis for classification and prediction in practice
This book presents a unified and up-to-date introduction to ROC methodologies, covering
both diagnosis (classification) and prediction. The emphasis is on the conceptual …
both diagnosis (classification) and prediction. The emphasis is on the conceptual …
[HTML][HTML] Covariate-specific ROC curve analysis can accommodate differences between covariate subgroups in the evaluation of diagnostic accuracy
Objectives We present an illustrative application of methods that account for covariates in
receiver operating characteristic (ROC) curve analysis, using individual patient data on D …
receiver operating characteristic (ROC) curve analysis, using individual patient data on D …
Utility of acute and subacute blood biomarkers to assist diagnosis in CT-negative isolated mild traumatic brain injury
Background and Objectives Blood biomarkers glial fibrillary acidic protein (GFAP) and
ubiquitin carboxy-terminal hydrolase L1 (UCH-L1) have recently been Food and Drug …
ubiquitin carboxy-terminal hydrolase L1 (UCH-L1) have recently been Food and Drug …
The covariate-adjusted ROC curve: the concept and its importance, review of inferential methods, and a new Bayesian estimator
V Inácio, MX Rodríguez-Álvarez - Statistical Science, 2022 - projecteuclid.org
In the supplement we:(i) discuss further practical considerations and provide examples
about the need of adjusting for covariates,(ii) describe the details of the bootstrap scheme …
about the need of adjusting for covariates,(ii) describe the details of the bootstrap scheme …
Comparison of turbidometric immunoassay, refractometry, and gamma‐glutamyl transferase to radial immunodiffusion for assessment of transfer of passive immunity …
AJ Kreuder, RM Breuer, C Wiley… - Journal of Veterinary …, 2023 - Wiley Online Library
Background Attainment of adequate transfer of passive immunity (TPI) is critical to health of
calves; however, studies comparing available tools for measurement of TPI in individual …
calves; however, studies comparing available tools for measurement of TPI in individual …
Combining HbA1c and glycated albumin improves detection of dysglycaemia in mixed-ancestry South Africans
Summary Background Combining HbA 1c with glycated albumin (GA) may improve
detection of dysglycaemia. As BMI correlates positively with HbA 1c and negatively with GA …
detection of dysglycaemia. As BMI correlates positively with HbA 1c and negatively with GA …
A new ensemble model for phishing detection based on hybrid cumulative feature selection
A New Ensemble Model for Phishing Detection Based on Hybrid Cumulative Feature
Selection (PDCFS) proposes a model that partitions the main dataset into n partitions based …
Selection (PDCFS) proposes a model that partitions the main dataset into n partitions based …