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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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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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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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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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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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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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PLoS ONE, 2023 Research often conceptualises complex social factors as being distinct binary categories (e.g., female vs male, feminine vs masculine). While this can be appropriate, the addition of an 'overlapping' category (e.g., non-binary, gender neutral) can ...
Anton Öttl +5 more
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Epidemiology, Biostatistics and Public Health, 2022 Background: Longitudinal joint models consider the variation caused by repeated measurements over time as well as the association among the response variables.
Payam Amini +5 more
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Tests for Trends in Binary Response [PDF]
, 1998 Tests for trend in binary response are especially important when analyzing animal experiments where the response in various dose--groups is of interest. Among the nonparametric tests the approach of Cochran and Armitage is the one which is most commonly ...
Becker, Ursula +2 more
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Social Context Modulates Tolerance For Pragmatic Violations In Binary But Not Graded Judgments [PDF]
, 2019 A common method for investigating pragmatic processing and its development in children is to have participants make binary judgments of underinformative (UI) statements such as Some elephants are mammals.
Grodner, Daniel J., Kim, M., Sikos, L.
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