Results 31 to 40 of about 538,072 (320)
Environmental Research Letters, 2015 Interannual variation of Indian summer monsoon rainfall (ISMR) is linked to El Niño-Southern oscillation (ENSO) as well as the Equatorial Indian Ocean oscillation (EQUINOO) with the link with the seasonal value of the ENSO index being stronger than that ...
Sajani Surendran +3 more
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Bivariate meta-analysis of predictive values of diagnostic tests can be an alternative to bivariate meta-analysis of sensitivity and specificity [PDF]
Journal of Clinical Epidemiology, 2012 Meta-analysis of predictive values is usually discouraged because these values are directly affected by disease prevalence, but sensitivity and specificity sometimes show substantial heterogeneity as well. We propose a bivariate random-effects logitnormal model for the meta-analysis of the positive predictive value (PPV) and negative predictive value ...
Leeflang MM +4 more
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Residual Analysis with Bivariate INAR(1) Models
Revstat Statistical Journal, 2018 In this paper we analyze forecasting errors made by random coefficients bivariate integer-valued autoregressive models of order one. These models are based on the thinning operator to support discreteness of data.
Predrag M. Popović +2 more
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The bivariate combined model for spatial data analysis [PDF]
Statistics in Medicine, 2016 To describe the spatial distribution of diseases, a number of methods have been proposed to model relative risks within areas. Most models use Bayesian hierarchical methods, in which one models both spatially structured and unstructured extra‐Poisson variance present in the data.
Andrew B. Lawson +4 more
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Single-index modulated multiple testing
, 2014 In the context of large-scale multiple testing, hypotheses are often accompanied with certain prior information. In this paper, we present a single-index modulated (SIM) multiple testing procedure, which maintains control of the false discovery rate ...
Du, Lilun, Zhang, Chunming
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Wavelet Cross-correlation in Bivariate Time-Series Analysis
Trends in Computational and Applied Mathematics, 2018 The estimation of the correlation between independent data sets using classical estimators, such as the Pearson coefficient, is well established in the literature. However, such estimators are inadequate for analyzing the correlation among dependent data.
Eniuce Menezes de Souza +1 more
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A Bivariate Multilevel Analysis of Portuguese Students
, 2020 In this work, we illustrate how to perform a bivariate multilevel analysis in the complex setting of large-scale assessment surveys. The purpose of this study was to identify a relationship between students’ mathematics and science test scores and the characteristics of students and schools themselves.
Susana Faria, Carla Salgado
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THE ANALYSIS OF PROFESSIONAL IMPROVEMENT PROCESS BY ECONOMETRIC METHODS [PDF]
Analele Universităţii Constantin Brâncuşi din Târgu Jiu : Seria Economie, 2013 A problem of today organizations is to adapt to rapid changes taking place in society, and this can not be donewithout giving special attention to human capital and intangible goods (knowledge, information, creativity).
TESELIOS DELIA +2 more
doaj
Preparation and bivariate analysis of suspensions of human chromosomes [PDF]
Cytometry, 1985 AbstractChromosomes were isolated from a variety of human cell types using a HEPES‐buffered hypotonic solution (pH 8.0) containing KCl, MgSO4, dithioerythritol, and RNase. The chromosomes isolated by this procedure could be stained with a variety of fluorescent stains including propidium iodide, chromomycin A3, and Hoechst 33258.
Joe W. Gray +4 more
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A mixed effect model for bivariate meta-analysis of diagnostic test accuracy studies using a copula representation of the random effects distribution [PDF]
, 2015 Diagnostic test accuracy studies typically report the number of true positives, false positives, true negatives and false negatives. There usually exists a negative association between the number of true positives and true negatives, because studies that
Arends +51 more
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