Results 51 to 60 of about 293,806 (294)
Multi‐observer methods for estimating uncertain species identification
Ecosphere, 2021 Species identification typically is assumed certain in population ecology. However, partial identification (to lowest certain taxon) and misidentification (collectively “uncertain identification”) have pervaded surveys.
Steven T. Hoekman
doaj +1 more source
The Dilution Effect of Misclassification
American Journal of Public Health and the Nations Health, 1964 THE KNOWLEDGE that misclassification of a characteristic "dilutes" or decreases a true difference has been a source of comfort to the investigator whose study produced a significant difference despite misclassification; and a source of caution to the investigator who failed to produce a significant difference and strongly suspected misclassification ...
P, BUELL, J E, DUNN
openaire +3 more sources
Annals of Clinical and Translational Neurology, EarlyView.ABSTRACT Objective High‐resolution MRI enables detailed assessment of intracranial vessel wall pathology in moyamoya vasculopathy. We aimed to classify adult moyamoya vasculopathy etiologies using high‐resolution MRI and to examine subtype‐specific associations between high‐resolution MRI features and ischemic infarction.
Guangsong Han +8 more
wiley +1 more source
Selection and Misclassification Biases in Longitudinal Studies
Frontiers in Veterinary Science, 2018 Using imperfect tests may lead to biased estimates of disease frequency and measures of association. Many studies have looked into the effect of misclassification on statistical inferences.
Denis Haine +5 more
doaj +1 more source
Estimating the extent of household contact misclassification with index cases of disease in longitudinal studies using a stochastic simulation model [PDF]
Global Health Action, 2013 Background: Household contact with an index case of an infectious disease is a known risk factor for infection transmission. However, such contact may be underestimated due to the dynamic nature of households, particularly in longitudinal studies.
Paul Fine, Sian Floyd, Tobias Chirwa
doaj +1 more source
Misclassification analysis for the class imbalance problem [PDF]
, 2010 In classification, the class imbalance issue normally causes the learning algorithm to be dominated by the majority classes and the features of the minority classes are sometimes ignored.
Fung, C.C. +3 more
core +1 more source
Predictive Ability of Plasma p‐tau217 for β‐Amyloid Status: A Prospective Multicenter Study
Annals of Clinical and Translational Neurology, EarlyView.ABSTRACT Objective Plasma tau phosphorylated at threonine 217 (p‐tau217) measured with fully automated platforms has shown high accuracy for Alzheimer's disease (AD) diagnosis, but real‐world multicenter data remain limited. We aimed to validate the diagnostic performance of p‐tau217 for identifying AD pathology in a real‐world multicenter cohort ...
Miquel Massons +33 more
wiley +1 more source
Frontiers in PsychiatryBackgroundSuicide underreporting undermines accurate public health assessments and resource allocation for suicide prevention. This study aims at synthesizing evidence on suicide underreporting and to estimate a global underreporting rate.MethodsWe ...
Nicola Meda +13 more
doaj +1 more source
Classification, confusion and misclassification
South African Journal of Obstetrics and Gynaecology, 2017 No Abstract.
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Misclassification of Self-Directed Violence.
Crisis, 2023 Background: Classification of acts of self-directed violence has been shown to be inadequate in past research. Furthermore, level of expertise have been shown to be unrelated to classification correctness. Aim: The aim of the present study was to investigate whether participants provided with a definition are more reliable in their judgment than ...
Teismann, Tobias +2 more
openaire +2 more sources