Binary Response Analysis Using Logistic Regression in Dentistry [PDF]
International Journal of Dentistry, 2022 Multivariate analysis with binary response is extensively utilized in dental research due to variations in dichotomous outcomes. One of the analyses for binary response variable is binary logistic regression, which explores the associated factors and ...
Natchalee Srimaneekarn +3 more
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Nonparametric regression estimation using multivariable truncated splines for binary response data [PDF]
MethodsXIn recent years, Truncated Spline estimators in nonparametric regression for quantitative data have gained significant attention. However, in practical applications, it is common to encounter situations where the response variable is qualitative (binary).
Afiqah Saffa Suriaslan +2 more
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Joint binary response modelling for childhood comorbidity in Ethiopia. [PDF]
PLoS ONE, 2022 Childhood diarrhea and Acute Respiratory Infection (ARI) are two diseases with similar risk factors in tropical developing regions. The objective of this study was to employ a joint binary response model and identify risk factors for childhood diarrhea ...
Tesfaye Abera Bokoro +2 more
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On the Estimation of the Binary Response Model
Axioms, 2023 The binary logistic regression model (LRM) is practical in situations when the response variable (RV) is dichotomous. The maximum likelihood estimator (MLE) is generally considered to estimate the LRM parameters.
Muhammad Amin +5 more
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Response adaptive randomization design for a two-stage study with binary response [PDF]
Journal of Biopharmaceutical Statistics, 2023 Guogen Shan
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Instrument Assisted Regression for Errors in Variables Models with Binary Response [PDF]
Scandinavian Journal of Statistics, 2015 Liqun Wang
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BETA-BINOMIAL MODEL IN SMALL AREA ESTIMATION USING HIERARCHICAL LIKELIHOOD APPROACH
Media Statistika, 2023 Small Area Estimation is a statistical method used to estimate parameters in sub-populations with small or even no sample sizes. This research aims to evaluate the Beta-Binomial model's performance for estimating small areas at the area level.
Etis Sunandi +3 more
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Inter-Trial Variability of Context Influences the Binding Structure in a Stimulus-Response Episode
Journal of Cognition, 2022 There is strong evidence that stimuli and responses are bound together in a direct ('binary') fashion into an episodic representation called 'stimulus-response episode' (or 'event file').
Ruyi Qiu +3 more
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Parallel matrix factorization for binary response [PDF]
2013 IEEE International Conference on Big Data, 2013 Predicting user affinity to items is an important problem in applications like content optimization, computational advertising, and many more. While bilinear random effect models (matrix factorization) provide state-of-the-art performance when minimizing RMSE through a Gaussian response model on explicit ratings data, applying it to imbalanced binary ...
Rajiv Khanna +3 more
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A Logit Model for Bivariate Binary Responses [PDF]
Symmetry, 2021 This article provides a bivariate binary logit model and statistical inference procedures for parameter estimation and hypothesis testing. The bivariate binary logit (BBL) model is an extension of the binary logit model that has two correlated binary responses.
Purhadi Purhadi, Muhamad Fathurahman
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