Titlebook: Longitudinal Categorical Data Analysis; Brajendra C. Sutradhar Book 2014 Springer Science+Business Media New York 2014 Categorical data an

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Multinomial Models for Cross-Sectional Bivariate Categorical Data, patient, say in three categories such as absence of DR, non-severe DR, and severe DR, are studied, .. with . = 3, and .. with . = 3, may be used to represent the three status of the left and right eyes, respectively.

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0172-7397 riate, bi-variate, and multivariate models for categorical aThis is the first book in longitudinal categorical data analysis with parametric correlation models developed based on dynamic relationships among repeated categorical responses. This book is a natural generalization of the longitudinal bin

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Introduction,egressor variable. The regressor variables are also known as covariates which can be dichotomized or multinomial (categorical) or can take values on a continuous or interval scale. In general the covariate levels or values are fixed and known. Similarly, as a generalization of the binary case, in un

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Jack Gray a series of theoretical constructions. Functional encryption can be investigated for specific real-world applications such as the evaluation and output from the ciphertexts using the different decryption keys. In this paper, we investigate one of the more popular recent developments in functional e