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2001
Binary responses are commonly studied in many fields. Examples include 1 the presence or absence of a particular disease, death during surgery, or a consumer purchasing a product. Often one wishes to study how a set of predictor variables X is related to a dichotomous response variable Y.
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Binary responses are commonly studied in many fields. Examples include 1 the presence or absence of a particular disease, death during surgery, or a consumer purchasing a product. Often one wishes to study how a set of predictor variables X is related to a dichotomous response variable Y.
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Standard Binary Logistic Regression Model
2015The logistic regression model is a type of predictive model that can be used when the response variable is binary—for example: live/die; disease/no disease; purchase/no purchase; win/lose. In short, we want to model the probability of getting a certain outcome, in effect modeling the mean of the variable (which is the same as the probability in the ...
Jeffrey R. Wilson, Kent A. Lorenz
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Conditional Logistic Regression Models for Correlated Binary Data
Biometrika, 1988A class of conditional logistic regression models for clustered binary data is considered. This includes the polychotomous logistic model of \textit{B. Rosner} [Biometrics 40, 1025-1035 (1984)] as a special case. Properties such as the joint distribution and pairwise odds ratio are investigated.
Connolly, Margaret A., Liang, Kung-Yee
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Modelling multivariate binary data with alternating logistic regressions
Biometrika, 1993Marginal models for multivariate binary data permit separate modelling of the relationship of the response with explanatory variables, and the association between pairs of responses. When the former is the scientific focus, a first-order generalized estimating equation method (Liang & Zeger, 1986) is easy to implement and gives efficient estimates of ...
Carey, V. +2 more
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Logistic regression for binary response data
2022This thesis was scanned from the print manuscript for digital preservation and is copyright the author. Researchers can access this thesis by asking their local university, institution or public library to make a request on their behalf. Monash staff and postgraduate students can use the link in the References field.
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Some Diagnostics for Binary Logistic Regression via Smoothing
Biometrika, 1987SUMMARY The paper discusses some diagnostic tools for binary logistic regression which use smoothing techniques. Smoothed binary data are employed to devise a battery of diagnostic plots, from simple procedures which indicate only the adequacy or inadequacy of a maximum likelihood logistic fit, to partial residual plots and delta local deviance plots ...
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