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Diagnostic test accuracy meta-analysis of transcranial motor evoked potential monitoring for the prediction of postoperative neurological deficits in ossification of the posterior longitudinal ligament surgery. [PDF]
Clin Neurophysiol PractVelur Prasuna L, Vibha V, Marvin G.
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Statistica Neerlandica, 1988
This paper reviews aspects of the application of logit models in economics. We consider some economic models that lead to a simple or a multinomial logit specification. A detailed account is given of the possible specifications of the multinomial model. We stress the relationship between distributional assumptions and functional form assumptions. Some (
Cramer, J. S., Ridder, G.
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This paper reviews aspects of the application of logit models in economics. We consider some economic models that lead to a simple or a multinomial logit specification. A detailed account is given of the possible specifications of the multinomial model. We stress the relationship between distributional assumptions and functional form assumptions. Some (
Cramer, J. S., Ridder, G.
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Efficiency and the logit model
Annals of Operations Research, 1998zbMATH Open Web Interface contents unavailable due to conflicting licenses.
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THE LOGIT AS A MODEL OF PRODUCT DIFFERENTIATION
Oxford Economic Papers, 1992The logit discrete choice model is argued to be flexible, tractable, and intuitively sound as a demand model of product differentiation under oligopoly. The free entry equilibrium product range is greater than or less than the social optimum, depending on cost and demand conditions and the degree of heterogeneity of consumer tastes.
Anderson, Simon P, De Palma, Andre
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Efficient MCMC for Binomial Logit Models
ACM Transactions on Modeling and Computer Simulation, 2013This article deals with binomial logit models where the parameters are estimated within a Bayesian framework. Such models arise, for instance, when repeated measurements are available for identical covariate patterns. To perform MCMC sampling, we rewrite the binomial logit model as an augmented model which involves some latent variables called random ...
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