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Comparative assessment of three common algorithms for estimating the variance of the area under the nonparametric receiver operating characteristic curve AgEcon
Cleves, Mario A..
The area under the receiver operating characteristic (ROC) curve is often used to summarize and compare the discriminatory accuracy of a diagnostic test or modality, and to evaluate the predictive power of statistical models for binary outcomes. Parametric maximum likelihood methods for fitting of the ROC curve provide direct estimates of the area under the ROC curve and its variance. Nonparametric methods, on the other hand, provide estimates of the area under the ROC curve, but do not directly estimate its variance. Three algorithms for computing the variance for the area under the nonparametric ROC curve are commonly used, although ambiguity exists about their behavior under diverse study conditions. Using simulated data, we found similar asymptotic...
Tipo: Journal Article Palavras-chave: Receiver operating characteristic (ROC) curve; Trapezoidal rule; Sensitivity; Specificity; Discriminatory accuracy; Predictive power; Research Methods/ Statistical Methods.
Ano: 2002 URL: http://purl.umn.edu/116008
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Exploratory analysis of single nucleotide polymorphism (SNP) for quantitative traits AgEcon
Cleves, Mario A..
With the decreasing cost and the increasing ability to quickly genotype single nucleotide polymorphisms (SNP) across the human genome, large databases containing possibly hundreds of typed SNPs are becoming common in population-based studies of quantitative traits. Testing for association between individual SNPs and the quantitative trait is an important first step in the discovery of disease susceptibility SNPs. This task, however, could be time-consuming and tedious if a large number of SNPs is involved. In this article, I introduce two new commands designed to facilitate the screening and testing of multiple SNPs for possible association with quantitative traits.
Tipo: Journal Article Palavras-chave: Hwsnp; Qtlsnp; Genetic epidemiology; Genetic linkage; QTL; Biallelic marker; Single nucleotide polymorphisms; Hardy–Weinberg; Research Methods/ Statistical Methods.
Ano: 2005 URL: http://purl.umn.edu/117508
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From the help desk: Comparing areas under receiver operating characteristic curves from two or more probit or logit models AgEcon
Cleves, Mario A..
Occasionally, there is a need to compare the predictive accuracy of several fitted logit (logistic) or probit models by comparing the areas under the corresponding receiver operating characteristic (ROC) curves. Although Stata currently does not have a ready routine for comparing two or more ROC areas generated from these models, this article describes how these comparisons can be performed using Stata’s roccomp command.
Tipo: Journal Article Palavras-chave: Receiving operating characteristic (ROC) curve; Research Methods/ Statistical Methods.
Ano: 2002 URL: http://purl.umn.edu/116016
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