Results 21 to 30 of about 449,237 (302)

Exploring the comparative adequacy of a unimanual and a bimanual stimulus-response setup for use with three-alternative choice response time tasks.

open access: yesPLoS 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
doaj   +2 more sources

Longitudinal Joint Modelling of Binary and Continuous Outcomes: A Comparison of Bridge and Normal Distributions

open access: yesEpidemiology, 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
doaj   +1 more source

The Specification of Dynamic Discrete-Time Two-State Panel Data Models

open access: yesEconometrics, 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
doaj   +1 more source

Efficient Robbins–Monro procedure for multivariate binary data

open access: yesStatistical 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
doaj   +1 more source

Constant Information Design for Binary Response Data

open access: yesSultan 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
doaj   +1 more source

On modelling relative risks for longitudinal binomial responses: implications from two dueling paradigms

open access: yesGeneral 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
doaj   +1 more source

When binary and continuous responses disagree [PDF]

open access: yesAnnals 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 ...
openaire   +2 more sources

D-Optimal Designs for Binary and Weighted Linear Regression Models: One Design Variable

open access: yesMathematics, 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
doaj   +1 more source

Stat5 signaling specifies basal versus stress erythropoietic responses through distinct binary and graded dynamic modalities.

open access: yesPLoS 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
doaj   +1 more source

Genetic evaluation for multiple binary responses [PDF]

open access: yesGenetics Selection Evolution, 1986
A method of genetic evaluation for multiple binary responses is presented. An underlying multivariate normal distribution is rendered discrete, in m dimensions, via a set of m fixed thresholds. There are 2m categories of response and the probability of response in a given category is modeled with an m-dimensional multivariate normal integral.
Hoschele, I.   +3 more
openaire   +6 more sources

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