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Logistic Regression with Missing Values in the Covariates

essentials of logistic regression and discusses the variety of mechanisms which might cause missing values while the rest of the book covers the;

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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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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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Applied Survival Analysis

-varying covariates, complex with examples* Additional treatment of the exponential, Weibull, and log-logistic parametric regression models;

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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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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

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 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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Regression Analysis with R

techniques to solve common problems in data science - from data exploration to dealing with missing values From Simple Linear Regression to Logistic;

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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 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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Multivariate Analysis for the Behavioral Sciences, Second Edition

, logistic regression, and survival analysis. There are further chapters covering longitudinal data and missing values, before the last seven;

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Multivariate Analysis for the Behavioral Sciences, Second Edition

, logistic regression, and survival analysis. There are further chapters covering longitudinal data and missing values, before the last seven;

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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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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

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

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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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Handbk Statistical Analyses Using R 3rd

recursive partitioning to cluster analysis. New to the Third Edition Three new chapters on quantile regression, missing values;

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A Handbook of Statistical Analyses using R, Third Edition

recursive partitioning to cluster analysis. New to the Third Edition Three new chapters on quantile regression, missing values, and Bayesian;

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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 Inside and Out

If you have a yes or no question, then you can probably answer it with a logistic regression model. Logistic regression is most appropriate;

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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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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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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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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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