Results 211 to 220 of about 430,651 (258)

Response shrinkage estimators in binary regression

Computational Statistics & Data Analysis, 2006
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Gerhard Tutz 0001, Florian Leitenstorfer
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Regression models for binary longitudinal responses

Statistics and Computing, 1998
Some conditional models to deal with binary longitudinal responses are proposed, extending random effects models to include serial dependence of Markovian form, and hence allowing for quite general association structures between repeated observations recorded on the same individual.
AITKIN M. A., ALFO', Marco
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Binary and Graded Responses in Gene Networks

Science Signaling, 2002
Although gene expression can be regulated in a graded or a binary fashion, the majority of eukaryotic genes are either fully activated or not expressed at all in individual cells. This binary response might be an inherent property of many eukaryotic promoters. Analysis of transcription under the control of yeast GAL1
Louis, Matthieu, Becskei, Attila
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Binary response data

2005
Abstract Much social science data consist of categoricalvariables. Familiar examples are religion, nationality, residence (urban/rural), type of dwelling, level of education and social class. The categories may be unordered (religion, nationality) or ordered (degree of disablement, attitude to a social question).
Murray Aitkin, Brain Francis, John Hinde
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Binary-Response Models

1998
This chapter is concerned with estimating the binary-response model $$ Y = \left\{{\begin{array}{*{20}{c}} {1\;if\;Y* > 0\;}\\ {0\;otherwise} \end{array}} \right. $$ (3.1a) where $$ {Y^*} = X\beta+U $$ (3.1b) Y is the observed dependent variable, X is a 1 × k vector of observed explanatory variables, β is a k × 1 vector of constant ...
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Theorems on Binary Responses to Combinations of Stimuli

Biometrical Journal, 1992
AbstractBinary responses, such as dead or alive, in response to two or more stimuli are considered in this paper. Their joint actions are defined to be either independent, conditionally independent, additive, synergistic or antagonistic. The Bernoulli parameter is replaced by a dose‐response function. Theorems on the probability of a response resulting
J. Wanzer Drane, Chongyau Fu, Tiberiu Postelnicu, Prof. J. Wanzer Drane, Chongyau Fu, Tiberiu Postelnicu   +5 more
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A Robust Design of a Screen for a Binary Response

Biometrika, 1992
Summary: Optimal screening procedures are derived using Bayesian decision theory. A simple heuristic solution is determined using an asymptotic posterior distribution for the parameters in a linear probit model. The solution is shown to be optimal within a class of possible procedures and robust to departures from model assumptions.
Boys, R. J., Glazebrook, K. D.
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The effect of effort on responses to binary cues

Proceedings of the 15th European conference on Cognitive ergonomics: the ergonomics of cool interaction, 2008
Motivation -- To address the question how the effort required to obtain task relevant information and the sensitivity of a binary cueing system affect responses to cues in a binary categorization task that is aided by a binary cueing system.Research approach -- In a simulated quality control task, participants had to decide whether to discard an item ...
Assaf Botzer, Joachim Meyer 0002
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COVARIATE-ADJUSTED RESPONSE-ADAPTIVE DESIGNS FOR BINARY RESPONSE

Journal of Biopharmaceutical Statistics, 2001
An adaptive allocation design for phase III clinical trials that incorporates covariates is described. The allocation scheme maps the covariate-adjusted odds ratio from a logistic regression model onto [0, 1]. Simulations assume that both staggered entry and time to response are random and follow a known probability distribution that can depend on the ...
W F, Rosenberger, A N, Vidyashankar, D K, Agarwal   +2 more
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Realized heritability of binary behavioral responses

Behavior Genetics, 1985
The distribution of a sample of binary responses, such asSCORE = the number of positive responses ofm trials, can be modeled by the betabinomial compound density. The heritability ofSCORE is estimated following the method detailed by W. G. Hill [(1972). Biometrics27:293–311], but the formula for the standard error is changed.
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