Results 261 to 270 of about 449,237 (302)

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
openaire   +1 more source

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 ...
openaire   +1 more source

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
openaire   +1 more source

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
openaire   +2 more sources

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.
openaire   +2 more sources

Optimal Adaptive Designs for Binary Response Trials

Biometrics, 2001
We derive the optimal allocation between two treatments in a clinical trial based on the following optimality criterion: for fixed variance of the test statistic, what allocation minimizes the expected number of treatment failures? A sequential design is described that leads asymptotically to the optimal allocation and is compared with the randomized ...
Rosenberger, William F., Stallard, Nigel, Ivanova, Anastasia, Harper, Cherice N., Ricks, Michelle L.   +4 more
openaire   +3 more sources

An Efficient Semiparametric Estimator for Binary Response Models

Econometrica, 1993
Il s'agit, dans le modèle \(y= 1\) si \(v(x;\theta_ 0)\geq u_ 0\) et \(y=0\) sinon, où \(v(.;.)\) est une fonction connue, \(x\) un vecteur exogène, \(\theta_ 0\) un vecteur paramètre inconnue et \(u_ 0\) une perturbation aléatoire de loi connue ou non, d'estimer \(\theta_ 0\) sur la base d'un échantillon de \(N\) observations \(\{x_ i,y_ i\}\) i.i.d ...
Klein, Roger W, Spady, Richard H
openaire   +2 more sources

Discrimination between alternative binary response models

Biometrika, 1967
SUMMARY The logistic and integrated normal binary response curves are known to agree closely except in the tails. For experiments based on three dose levels the power of a significance test is found for the null hypothesis that the response curve is logistic against the alternative that it is normal, and vice versa.
E A, Chambers, D R, Cox
openaire   +2 more sources

RESPONSE TO AFFIRMATIVE AND NEGATIVE BINARY STATEMENTS

British Journal of Psychology, 1961
A previous experiment showed consistent and significant differences in the times taken to complete true affirmative, false affirmative, true negative and false negative statements in relation to given situations. In that task only one pattern of stimuli could have made an affirmative true and a negative false, but more than one ...
openaire   +2 more sources

Models for Binary Response Variables

1995
The test procedures in the linear regression model are based on the normal distribution of the error variable ∊ and thus on a normal distribution of the endogenous variable Y. However, in many fields of application this assumption may not be true. The response variable Y may be defined as a binary variable, or more generally, as a categorical variable.
Calyampudi Radhakrishna Rao, Helge Toutenburg   +1 more
openaire   +1 more source