Results 41 to 50 of about 1,760,564 (191)
An Answer to Multiple Problems with Analysis of Data on Harms?
, 2012 Discussion of "Multivariate Bayesian Logistic Regression for Analysis of Clinical Trial Safety Issues" by W. DuMouchel [arXiv:1210.0385].Comment: Published in at http://dx.doi.org/10.1214/12-STS381C the Statistical Science (http://www.imstat.org/sts ...
Evans, Stephen
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Logistic regression analysis with standardized markers
The Annals of Applied Statistics, 2013 Two different approaches to analysis of data from diagnostic biomarker studies are commonly employed. Logistic regression is used to fit models for probability of disease given marker values, while ROC curves and risk distributions are used to evaluate classification performance.
Huang, Ying +2 more
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Urban Noise Analysis Using Multinomial Logistic Regression [PDF]
Journal of Transportation Engineering, 2016 AbstractThe research uses a database of urban noise data collected continually from April 2013 to March 2014 at 10 sites in Dublin, Ireland. The first objective of the paper is to investigate if the morning daily noise level peak is related to transport characteristics of households, such as car ownership levels, the mode by which people travel to work,
O'MAHONY, MARGARET, GERAGHTY, THOMAS
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Applying the Binary Logistic Regression Analysis on The Medical Data
Science Journal of University of Zakho, 2017 In this paper, the Binary Logistic Regression Analysis BLRA technique has been used and applied for building the best model for Hepatitis disease data using best subsets regression and stepwise procedures and depending on some laboratory tests such as ...
Qais M. Abdulqader
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Noncollapsibility and its role in quantifying confounding bias in logistic regression
BMC Medical Research Methodology, 2021 Background Confounding bias is a common concern in epidemiological research. Its presence is often determined by comparing exposure effects between univariable- and multivariable regression models, using an arbitrary threshold of a 10% difference to ...
Noah A. Schuster +4 more
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A Study of Panel Logit Model and Adaptive Neuro-Fuzzy Inference System in the Prediction of Financial Distress Periods [PDF]
, 2010 The purpose of this paper is to present two different approaches of financial distress pre-warning models appropriate for risk supervisors, investors and policy makers. We examine a sample of the financial institutions and electronic companies of Taiwan
Giovanis, Eleftherios
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A Modified Half‐Logistic Distribution With Regression Analysis
Engineering ReportsThis study introduces the power odd Lindley half‐logistic distribution (POLiHLD), a novel statistical distribution developed to provide enhanced flexibility for modeling diverse data sets.
Eslam Hussam +3 more
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A logistic regression analysis of risk factors in ME/CFS pathogenesis
BMC Neurology, 2019 Background Myalgic Encephalomyelitis/Chronic Fatigue Syndrome (ME/CFS) is a complex disease, whose exact cause remains unclear. A wide range of risk factors has been proposed that helps understanding potential disease pathogenesis.
Eliana M. Lacerda +4 more
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Analysis of Young Drivers’ Confidence and Behaviour: Binary Logistic Regression Approach [PDF]
Journal of South Asian Logistics and TransportRoad crashes are a global concern, and they disproportionately affect younger drivers due to their inexperience and risk-taking behaviour. In Sri Lanka, the higher risk of traffic crashes among younger drivers underscores the need for researchers to ...
Niranga Amarasingha, S. M. Chandrasiri
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Sichuan jingshen weisheng, 2022 The purpose of the paper was to introduce how to reasonably carry out multiple Logistic regression analysis combined with the average treatment effect analysis.
Hu Chunyan, Hu Liangping
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