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Logistic Regression Using SAS

If you are a researcher or student with experience in multiple linear regression and want to learn about logistic regression, Paul;

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Logistic Regression

In this text, author Scott Menard provides coverage of not only the basic logistic regression model but also advanced topics found in no;

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Logistic Regression Using SAS

If you are a researcher or student with experience in multiple linear regression and want to learn about logistic regression, Paul;

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Interaction Effects in Logistic Regression

This book provides an introduction to the analysis of interaction effects in logistic regression by focusing on the interpretation of the;

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Applied Logistic Regression Analysis

The focus in this Second Edition is again on logistic regression models for individual level data, but aggregate or grouped data are also;

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Logistic Regression Models

Logistic Regression Models presents an overview of the full range of logistic models, including binary, proportional, ordered, partially;

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Logistic Regression Models

Logistic Regression Models presents an overview of the full range of logistic models, including binary, proportional, ordered, partially;

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Practical Guide to Logistic Regression

Practical Guide to Logistic Regression covers the key points of the basic logistic regression model and illustrates how to use it properly;

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Practical Guide to Logistic Regression

Practical Guide to Logistic Regression covers the key points of the basic logistic regression model and illustrates how to use it properly;

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Analyzing Linguistic Variation - Statistical Models & Methods

The book explains the theory and practice of using logistic regression for the description of language variation, including a comprehensive;

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Best Practices in Logistic Regression

This book explores the fun things researchers can do with logistic regression, explicates and simplifies the confounding complexities;

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Statistical Models For Causal Analysis

, logistic regression, multinomial logistic regression and survival models. The goal is to impart a working knowledge of these models with a minimum;

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Confidence Intervals in Generalized Regression Models

regression model, generalized linear model (GLIM), logistic regression model, Poisson regression model, multinomial regression model, and Cox;

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Confidence Intervals in Generalized Regression Models

regression model, generalized linear model (GLIM), logistic regression model, Poisson regression model, multinomial regression model, and Cox;

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Logistic Regression with Missing Values in the Covariates

logistic, regression models provide a powerful tool for this purpose. This monograph presents an account of the use of logistic regression in the;

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Logistic Regression

This is the second edition of this text on logistic regression methods. As in the first edition, each chapter contains a presentation;

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Logistic Regression

This volume helps readers understand the intuitive logic behind logistic regression through nontechnical language and simple examples.;

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Applied Logistic Regression

A new edition of the definitive guide to logistic regression modeling for health science and other applications This thoroughly expanded;

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Logistic Regression

Pampel's book offers readers the first nuts and bolts' approach to doing logistic regression through the use of careful explanations and;

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Data Analysis Using Regression & Multi

instrumental variables, as well as multilevel logistic regression and missing-data imputation. Practical tips regarding building, fitting, and;

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Simultaneous Inference in Regression

regression models. The final chapter demonstrates the use of simultaneous confidence bands in generalized linear regression models, such as logistic;

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Simultaneous Inference in Regression

regression models. The final chapter demonstrates the use of simultaneous confidence bands in generalized linear regression models, such as logistic;

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Applied Logistic Regression

From the reviews of the First Edition. An interesting, useful, and well-written book on logistic regression models ...Hosmer and Lemeshow;

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Data Analysis Using Regression and Multilevel/Hierarchical Models

well as multilevel logistic regression and missing-data imputation. Practical tips regarding building, fitting, and understanding are provided;

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Who are the cigarette smokers in Arizona?

logistic regression model, even though overall, demographic variables cannot account for much of the variance in the smoking status of the people;

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Regression Models as a Tool in Medical Research

logistic regression model for binary outcomes, and the Cox proportional hazards model for survival data. The text emphasizes adequate use, correct;

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Regression Models As A Tool In Medical Research

logistic regression model for binary outcomes, and the Cox proportional hazards model for survival data. The text emphasizes adequate use, correct;

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