Multivariate logistic regression analysis using multilevel model
Journal of Biostatistics and Epidemiology, 2018 Background & Aim: One of the basic assumptions in simple linear regression models is the statistical independence of observations. Sometimes this assumption is not true for study subject and consequently the use of general regression models may not be ...
Ahmad Vakili Basir +2 more
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Neural Networks in Bankruptcy Prediction - A Comparative Study on the Basis of the First Hungarian Bankruptcy Model [PDF]
, 2005 The article attempts to answer the question whether or not the latest bankruptcy prediction techniques are more reliable than traditional mathematical–statistical ones in Hungary.
Kristóf, Tamás, Virág, Miklós
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Risk factors for temporomandibular disorder: binary logistic regression analysis [PDF]
, 2014 Objectives: To analyze the influence of socioeconomic and demographic factors (gender, economic class, age and marital status) on the occurrence of temporomandibular disorder.
Assis-Morais, Mariana-Pacheco-Lima de- +6 more
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Factors associated with extended remission in neovascular age-related macular degeneration on pro re nata treatment protocol. [PDF]
, 2020 AimTo show the characteristics and outcomes of patients with neovascular age-related macular degeneration (nAMD) who had extended remission (ER) while on a pro re nata (PRN) treatment protocol.MethodsThis was a retrospective case-control study of a ...
Amador-Patarroyo, Manuel J +6 more
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Correlated Weibull regression model for multivariate binary data [PDF]
, 2002 The correlated Weibull regression model for the analysis of correlated binary data is presented. This regression model is based on Bonney’s disposition model for the regression analysis of correlated binary outcomes. Parameter estimation was done through
Bonney, George E. +4 more
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, 2006 A common practice in microarray analysis is to transform the microarray raw data (light intensity) by a logarithmic transformation, and the justification for this transformation is to make the distribution more symmetric and Gaussian-like.
Li, Wentian +2 more
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Logistic Regression Revisited: Belief Function Analysis [PDF]
, 2018 We show that the weighted sum and softmax operations performed in logistic regression classifiers can be interpreted in terms of evidence aggregation using Dempster’s rule of combination. From that perspective, the output probabilities from such classifiers can be seen as normalized plausibilities, for some mass functions that can be laid bare.
openaire +1 more source
Logistic Regression Analysis of Functional Constipation Factors in the Elderly
Journal of Modern RehabilitationIntroduction: Machine learning software programs are of great interest in medical sciences for their diagnostic and therapeutic applications. Elderly individuals can greatly benefit from these technologies due to their physical limitations.
Zeinab Shiravi +3 more
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What determines informal hiring? Evidence from the Turkish textile sector [PDF]
Most studies about the shadow economy focus on the estimation of the aggregate size. However, this study aims to address the sectoral or micro aspects of this phenomenon using the data from the textile sector in Turkey.
Fatih Savasan, Friedrich G. Schneider
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FAST: Feature-Aware Student Knowledge Tracing [PDF]
, 2013 Various kinds of e-learning systems, such as Massively Open Online Courses and intelligent tutoring systems, are now producing amounts of feature-rich data from students solving items at different levels of proficiency over time.
Brusilovsky, Peter +2 more
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