Applied Multiple Imputation

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Applied Multiple Imputation

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Author : Kristian Kleinke
language : en
Publisher: Springer Nature
Release Date : 2020-02-29

Applied Multiple Imputation written by Kristian Kleinke and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2020-02-29 with Social Science categories.

This book explores missing data techniques and provides a detailed and easy-to-read introduction to multiple imputation, covering the theoretical aspects of the topic and offering hands-on help with the implementation. It discusses the pros and cons of various techniques and concepts, including multiple imputation quality diagnostics, an important topic for practitioners. It also presents current research and new, practically relevant developments in the field, and demonstrates the use of recent multiple imputation techniques designed for situations where distributional assumptions of the classical multiple imputation solutions are violated. In addition, the book features numerous practical tutorials for widely used R software packages to generate multiple imputations (norm, pan and mice). The provided R code and data sets allow readers to reproduce all the examples and enhance their understanding of the procedures. This book is intended for social and health scientists and other quantitative researchers who analyze incompletely observed data sets, as well as master’s and PhD students with a sound basic knowledge of statistics.

Multiple Imputation And Its Application

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Author : James R. Carpenter
language : en
Publisher: John Wiley & Sons
Release Date : 2023-07-24

Multiple Imputation And Its Application written by James R. Carpenter and has been published by John Wiley & Sons this book supported file pdf, txt, epub, kindle and other format this book has been release on 2023-07-24 with Medical categories.

Multiple Imputation and its Application The most up-to-date edition of a bestselling guide to analyzing partially observed data In this comprehensively revised Second Edition of Multiple Imputation and its Application, a team of distinguished statisticians delivers an overview of the issues raised by missing data, the rationale for multiple imputation as a solution, and the practicalities of applying it in a multitude of settings. With an accessible and carefully structured presentation aimed at quantitative researchers, Multiple Imputation and its Application is illustrated with a range of examples and offers key mathematical details. The book includes a wide range of theoretical and computer-based exercises, tested in the classroom, which are especially useful for users of R or Stata. Readers will find: A comprehensive overview of one of the most effective and popular methodologies for dealing with incomplete data sets Careful discussion of key concepts A range of examples illustrating the key ideas Practical advice on using multiple imputation Exercises and examples designed for use in the classroom and/or private study Written for applied researchers looking to use multiple imputation with confidence, and for methods researchers seeking an accessible overview of the topic, Multiple Imputation and its Application will also earn a place in the libraries of graduate students undertaking quantitative analyses.

Proceedings Of The Section On Survey Research Methods

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Author : American Statistical Association. Survey Research Methods Section
language : en
Publisher:
Release Date : 1994

Proceedings Of The Section On Survey Research Methods written by American Statistical Association. Survey Research Methods Section and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 1994 with Mathematical statistics categories.

Combining Multiple Biomarker Models In Logistic Regression And Censored Survival Analysis

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Author : Zheng Yuan
language : en
Publisher:
Release Date : 2006

Combining Multiple Biomarker Models In Logistic Regression And Censored Survival Analysis written by Zheng Yuan and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2006 with categories.

Essays On And With Missing Data

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Author : Skyler John Cranmer
language : en
Publisher:
Release Date : 2007

Essays On And With Missing Data written by Skyler John Cranmer and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2007 with categories.

Alternative Methods Of Variable Selection In Linear Regression Models For Incomplete Multivariate Normal Data

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Author : Xiaowei Yang
language : en
Publisher:
Release Date : 2002

Alternative Methods Of Variable Selection In Linear Regression Models For Incomplete Multivariate Normal Data written by Xiaowei Yang and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2002 with categories.

Survival Analysis Via Nonparametric Multiple Imputation

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Author : Chiu-Hsieh Hsu
language : en
Publisher:
Release Date : 2003

Survival Analysis Via Nonparametric Multiple Imputation written by Chiu-Hsieh Hsu and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2003 with categories.

Multiple Imputation For Nonresponse In Surveys

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Author : Donald B. Rubin
language : en
Publisher: John Wiley & Sons
Release Date : 1987-06-23

Multiple Imputation For Nonresponse In Surveys written by Donald B. Rubin and has been published by John Wiley & Sons this book supported file pdf, txt, epub, kindle and other format this book has been release on 1987-06-23 with Computers categories.

Demonstrates how nonresponse in sample surveys and censuses can be handled by replacing each missing value with two or more multiple imputations. Clearly illustrates the advantages of modern computing to such handle surveys, and demonstrates the benefit of this statistical technique for researchers who must analyze them. Also presents the background for Bayesian and frequentist theory. After establishing that only standard complete-data methods are needed to analyze a multiply-imputed set, the text evaluates procedures in general circumstances, outlining specific procedures for creating imputations in both the ignorable and nonignorable cases. Examples and exercises reinforce ideas, and the interplay of Bayesian and frequentist ideas presents a unified picture of modern statistics.

Hypothesis Testing Of High Dimensional Data With Applications To Medical Image Analysis

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Author : Kun Nie
language : en
Publisher:
Release Date : 2004

Hypothesis Testing Of High Dimensional Data With Applications To Medical Image Analysis written by Kun Nie and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2004 with categories.

Multivariate Statistical Inference And Applications

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Author : Alvin C. Rencher
language : en
Publisher: Wiley-Interscience
Release Date : 1998

Multivariate Statistical Inference And Applications written by Alvin C. Rencher and has been published by Wiley-Interscience this book supported file pdf, txt, epub, kindle and other format this book has been release on 1998 with Mathematics categories.

The most accessible introduction to the theory and practice of multivariate analysis Multivariate Statistical Inference and Applications is a user-friendly introduction to basic multivariate analysis theory and practice for statistics majors as well as nonmajors with little or no background in theoretical statistics. Among the many special features of this extremely accessible first text on multivariate analysis are: * Clear, step-by-step explanations of all key concepts and procedures along with original, easy-to-follow proofs * Numerous problems, examples, and tables of distributions * Many real-world data sets drawn from a wide range of disciplines * Reviews of univariate procedures that give rise to multivariate techniques * An extensive survey of the world literature on multivariate analysis * An in-depth review of matrix theory * A disk including all the data sets and SAS command files for all examples and numerical problems found in the book These same features also make Multivariate Statistical Inference and Applications an excellent professional resource for scientists and clinicians who need to acquaint themselves with multivariate techniques. It can be used as a stand-alone introduction or in concert with its more methods-oriented sibling volume, the critically acclaimed Methods of Multivariate Analysis.