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2007
The Medical Subject Headings (MeSH) thesaurus used by the National Library of Medicine defines logistic regression models as "statistical models which describe the relationship between a qualitative dependent variable (that is, one which can take only certain discrete values, such as the presence or absence of a disease) and an independent variable ...
Todd G, Nick, Kathleen M, Campbell
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The Medical Subject Headings (MeSH) thesaurus used by the National Library of Medicine defines logistic regression models as "statistical models which describe the relationship between a qualitative dependent variable (that is, one which can take only certain discrete values, such as the presence or absence of a disease) and an independent variable ...
Todd G, Nick, Kathleen M, Campbell
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Biometrics, 1995
Truncated binary data occurs when a group of individuals, who each have a binary response, are observed only if one or more of the individuals has a positive response. In this paper the group will be taken to be a motor vehicle accident and the binary response taken to be survival or death.
T J, O'Neill, S C, Barry
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Truncated binary data occurs when a group of individuals, who each have a binary response, are observed only if one or more of the individuals has a positive response. In this paper the group will be taken to be a motor vehicle accident and the binary response taken to be survival or death.
T J, O'Neill, S C, Barry
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Multinomial Logistic Regression
Nursing Research, 2002When the dependent variable consists of several categories that are not ordinal (i.e., they have no natural ordering), the ordinary least square estimator cannot be used. Instead, a maximum likelihood estimator like multinomial logit or probit should be used.The purpose of this article is to understand the multinomial logit model (MLM) that uses ...
Chanyeong, Kwak, Alan, Clayton-Matthews
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Ecology, 1999
We show how to use logistic regression in situations where the phenomenon under consideration is periodic, i.e., follows a cyclic pattern. The method is illustrated by using data for the snail Potamopyrgus antipodarum, which exhibits a 24-hr periodic pattern of foraging. Snails are found on the top or bottom of rocks, depending on time of day.
Bernard D. Flury, Edward P. Levri
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We show how to use logistic regression in situations where the phenomenon under consideration is periodic, i.e., follows a cyclic pattern. The method is illustrated by using data for the snail Potamopyrgus antipodarum, which exhibits a 24-hr periodic pattern of foraging. Snails are found on the top or bottom of rocks, depending on time of day.
Bernard D. Flury, Edward P. Levri
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Bayesian Multivariate Logistic Regression
Biometrics, 2004SummaryBayesian analyses of multivariate binary or categorical outcomes typically rely on probit or mixed effects logistic regression models that do not have a marginal logistic structure for the individual outcomes. In addition, difficulties arise when simple noninformative priors are chosen for the covariance parameters.
O'Brien, Sean M., Dunson, David B.
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Empirical Bayes Logistic Regression
Statistical Applications in Genetics and Molecular Biology, 2008We construct a diagnostic predictor for patient disease status based on a single data set of mass spectra of serum samples together with the binary case-control response. The model is logistic regression with Bernoulli log-likelihood augmented either by quadratic ridge or absolute L1 penalties.
Strimenopoulou, Foteini +1 more
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American Journal of Physical Medicine & Rehabilitation, 2000
Medical rehabilitation researchers are increasingly interested in investigating complex, multivariate problems. Logistic regression analysis is a statistical tool that may be useful in exploring the relationship between multiple explanatory factors and a categorical outcome.
G V, Ostir, T, Uchida
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Medical rehabilitation researchers are increasingly interested in investigating complex, multivariate problems. Logistic regression analysis is a statistical tool that may be useful in exploring the relationship between multiple explanatory factors and a categorical outcome.
G V, Ostir, T, Uchida
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International Journal of Injury Control and Safety Promotion, 2018
Simple and multiple linear regression models study the relationship between a single continuous dependent variable Y and one or multiple independent variables X, respectively (Bangdiwala, 2018a, 20...
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Simple and multiple linear regression models study the relationship between a single continuous dependent variable Y and one or multiple independent variables X, respectively (Bangdiwala, 2018a, 20...
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