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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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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 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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Best Practices in Logistic Regression

of understanding what logistic regression is, and provides evidence-based guidance as to what the best practices in performing logistic regression are.;

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Logistic Regression

other logistic regression text. The book keeps mathematical notation to a minimum, making it accessible to those with more limited statistics;

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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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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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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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Logistic Regression

13 - Other Approaches for Analysis of Correlated Data. Chapters 9 and 10 extend logistic regression to response variables that have more than;

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Logistic Regression Using SAS

Informal and nontechnical, this book both explains the theory behind logistic regression and looks at all the practical details involved;

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Logistic Regression Using The Sas System

Written in an informal and non-technical style, this book first explains the theory behind logistic regression and then shows how to;

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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 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 Inside and Out

subjects respond to treatment or grow ill, will livestock live or die? Yes or no? I am often asked if logistic regression is a machine learning;

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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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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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Handbook of Regression Analysis

field, the purpose of the Handbook of Regression Analysis is to provide a practical, one-stop reference on regression analysis. The focus is on;

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Calculus of Thought

in analytic solutions to practical and scientific problems. The reduced error logistic regression (RELR) method is proposed as such a;

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Statistical Modelling in Higher Learning

presents you with a solid understanding on the predictors using classification tree mining and logistic regression analysis.Classification is the;

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Regression and Other Stories

and observational studies. They make a smooth transition to logistic regression and GLM. The emphasis is on computation in R and Stan rather;

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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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Statistical Regression Modeling with R

regression for normally distributed data, logistic regression for binomially distributed data, and Poisson regression and negative-binomial;

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Statistical Regression Modeling with R

regression for normally distributed data, logistic regression for binomially distributed data, and Poisson regression and negative-binomial;

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Categorical Data Analysis Using SAS

, to be a useful discussion of categorical data analysis techniques as well as an invaluable aid in applying these methods with SAS. Practical;

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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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