Results 11 to 20 of about 430,651 (258)
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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The Specification of Dynamic Discrete-Time Two-State Panel Data Models
Econometrics, 2018 This paper compares two approaches to analyzing longitudinal discrete-time binary outcomes. Dynamic binary response models focus on state occupancy and typically specify low-order Markovian state dependence.
Tue Gørgens, Dean Robert Hyslop
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Efficient Robbins–Monro procedure for multivariate binary data
Statistical Theory and Related Fields, 2018 This paper considers the problem of jointly estimating marginal quantiles of a multivariate distribution. A sufficient condition for an estimator that converges in probability under a multivariate version of Robbins–Monro procedure is provided.
Cui Xiong, Jin Xu
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Constant Information Design for Binary Response Data
Sultan Qaboos University Journal for Science, 1998 A major problem is designing experiments when the assumed model is nonlinear, is the dependence of the designs on the values of the unknown parameters we consider in this article designs for binary data and generalize the constant information criterion ...
K.A. Abdelbasit
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General Psychiatry, 2023 Although logistic regression is the most popular for modelling regression relationships with binary responses, many find relative risk (RR), or risk ratio, easier to interpret and prefer to use this measure of risk in regression analysis.
Xin M Tu +5 more
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When binary and continuous responses disagree [PDF]
Annals of the Rheumatic Diseases, 2020 In the observational TOCERRA study by Lauper et al ,1 the authors showed that tocilizumab (TOC; either as monotherapy or combination therapy) had superior drug retention than tumour necrosis factor inhibitors (TNFi; as monotherapy or combination therapy), in patients with rheumatoid arthritis with prior exposure to at least one biologic disease ...
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D-Optimal Designs for Binary and Weighted Linear Regression Models: One Design Variable
Mathematics, 2023 D-optimality is a well-known concept in experimental design that seeks to select an optimal set of design points to estimate the unknown parameters of a statistical model with a minimum variance.
Necla Gündüz, Bernard Torsney
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PLoS Biology, 2012 Erythropoietin (Epo)-induced Stat5 phosphorylation (p-Stat5) is essential for both basal erythropoiesis and for its acceleration during hypoxic stress. A key challenge lies in understanding how Stat5 signaling elicits distinct functions during basal and ...
Ermelinda Porpiglia +4 more
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RiskLogitboost Regression for Rare Events in Binary Response: An Econometric Approach
Mathematics, 2021 A boosting-based machine learning algorithm is presented to model a binary response with large imbalance, i.e., a rare event. The new method (i) reduces the prediction error of the rare class, and (ii) approximates an econometric model that allows ...
Jessica Pesantez-Narvaez +2 more
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