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Optimal Adaptive Designs for Binary Response Trials
Biometrics, 2001We 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. +4 more
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An Efficient Semiparametric Estimator for Binary Response Models
Econometrica, 1993Il 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
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Discrimination between alternative binary response models
Biometrika, 1967SUMMARY 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
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RESPONSE TO AFFIRMATIVE AND NEGATIVE BINARY STATEMENTS
British Journal of Psychology, 1961A 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 ...
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Models for Binary Response Variables
1995The 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 +1 more
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A Model for a Binary Response with Misclassifications
1982Observations on a binary response may be subject to misclassification. A linear logit model for the true binary response is specified and estimated jointly with the error probabilities for the two types of misclassification. The model is illustrated using a subset of the well-known coal-miners data.
Anders Ekholm, Juni Palmgren
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Crossover Studies with Binary Responses
2011The two-period crossover trial has the evident advantage that by the use of within-patients comparisons, the usually larger between-patient variability is not used as a measuring stick to compare treatments. However, a prerequisite is that the order of the treatments does not substantially influence the outcome of the treatment.
Ton J. Cleophas, Aeilko H. Zwinderman
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Designed experiments with binary responses
Journal of Pharmaceutical Sciences, 2011Keith M, Bower +4 more
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