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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.
Terence O'Neill, Simon 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.
Terence O'Neill, Simon C. Barry
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Logistic Regression Analysis [PDF]
, 1990 In chapter 8 the connection to log-linear models for contingency tables was stressed. The direct connection to regression analysis for continuous response variables will now be brought more clearly into focus. Assume as before that the response variable is binary and that it is observed together with p explanatory variables.
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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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Kappa Regression: An Alternative to Logistic Regression
International Journal of Uncertainty, Fuzziness and Knowledge-Based Systems, 2020In this study, a new regression method called Kappa regression is introduced to model conditional probabilities. The regression function is based on Dombi’s Kappa function, which is well known in fuzzy theory. Here, we discuss how the Kappa function relates to the Logistic function as well as how it can be used to approximate the Logistic function. We
Dombi József, Jónás Tamás
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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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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.
Glenn V. Ostir, Tatsuo 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.
Glenn V. Ostir, Tatsuo Uchida
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2015
We often need to determine probabilities for a yes or no outcome in medical diagnosis, and require special methods. These are basically simple but computationally tedious, and usually require professional programs for their implementation.
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We often need to determine probabilities for a yes or no outcome in medical diagnosis, and require special methods. These are basically simple but computationally tedious, and usually require professional programs for their implementation.
openaire +2 more sources