Logistic Regression with Missing Values in the Covariates

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In many areas of science a basic task is to assess the influence of several factors on a quantity of interest. If this quantity is binary logistic, regression models provide a powerful tool for this purpose. This monograph presents an account of the use of logistic regression in the case where missing values in the variables prevent the use of standard techniques. Such situations occur frequently across a wide range of statistical applications. The emphasis of this book is on methods related to the classical maximum ...

Logistic Regression with Missing Values in the Covariates 1994, Springer, New York, NY

ISBN-13: 9780387942636

Softcover Reprint of the Origi edition

Trade paperback

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