Multiple Imputation And Its Application

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Multiple Imputation And Its Application

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Author : James Carpenter
language : en
Publisher: John Wiley & Sons
Release Date : 2012-12-19

Multiple Imputation And Its Application written by James 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 2012-12-19 with Medical categories.

A practical guide to analysing partially observed data. Collecting, analysing and drawing inferences from data is central to research in the medical and social sciences. Unfortunately, it is rarely possible to collect all the intended data. The literature on inference from the resulting incomplete data is now huge, and continues to grow both as methods are developed for large and complex data structures, and as increasing computer power and suitable software enable researchers to apply these methods. This book focuses on a particular statistical method for analysing and drawing inferences from incomplete data, called Multiple Imputation (MI). MI is attractive because it is both practical and widely applicable. The authors aim is to clarify the issues raised by missing data, describing the rationale for MI, the relationship between the various imputation models and associated algorithms and its application to increasingly complex data structures. Multiple Imputation and its Application: Discusses the issues raised by the analysis of partially observed data, and the assumptions on which analyses rest. Presents a practical guide to the issues to consider when analysing incomplete data from both observational studies and randomized trials. Provides a detailed discussion of the practical use of MI with real-world examples drawn from medical and social statistics. Explores handling non-linear relationships and interactions with multiple imputation, survival analysis, multilevel multiple imputation, sensitivity analysis via multiple imputation, using non-response weights with multiple imputation and doubly robust multiple imputation. Multiple Imputation and its Application is aimed at quantitative researchers and students in the medical and social sciences with the aim of clarifying the issues raised by the analysis of incomplete data data, outlining the rationale for MI and describing how to consider and address the issues that arise in its application.

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.

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.

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.

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 Imputations For Linear Regression Models

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Author : David Brownstone
language : en
Publisher:
Release Date : 1991

Multiple Imputations For Linear Regression Models written by David Brownstone and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 1991 with Linear models (Statistics) categories.

Multiple Imputation Of Missing Data In Practice

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Author : Yulei He
language : en
Publisher: CRC Press
Release Date : 2021-11-19

Multiple Imputation Of Missing Data In Practice written by Yulei He and has been published by CRC Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2021-11-19 with Mathematics categories.

Multiple Imputation of Missing Data in Practice: Basic Theory and Analysis Strategies provides a comprehensive introduction to the multiple imputation approach to missing data problems that are often encountered in data analysis. Over the past 40 years or so, multiple imputation has gone through rapid development in both theories and applications. It is nowadays the most versatile, popular, and effective missing-data strategy that is used by researchers and practitioners across different fields. There is a strong need to better understand and learn about multiple imputation in the research and practical community. Accessible to a broad audience, this book explains statistical concepts of missing data problems and the associated terminology. It focuses on how to address missing data problems using multiple imputation. It describes the basic theory behind multiple imputation and many commonly-used models and methods. These ideas are illustrated by examples from a wide variety of missing data problems. Real data from studies with different designs and features (e.g., cross-sectional data, longitudinal data, complex surveys, survival data, studies subject to measurement error, etc.) are used to demonstrate the methods. In order for readers not only to know how to use the methods, but understand why multiple imputation works and how to choose appropriate methods, simulation studies are used to assess the performance of the multiple imputation methods. Example datasets and sample programming code are either included in the book or available at a github site (https://github.com/he-zhang-hsu/multiple_imputation_book). Key Features Provides an overview of statistical concepts that are useful for better understanding missing data problems and multiple imputation analysis Provides a detailed discussion on multiple imputation models and methods targeted to different types of missing data problems (e.g., univariate and multivariate missing data problems, missing data in survival analysis, longitudinal data, complex surveys, etc.) Explores measurement error problems with multiple imputation Discusses analysis strategies for multiple imputation diagnostics Discusses data production issues when the goal of multiple imputation is to release datasets for public use, as done by organizations that process and manage large-scale surveys with nonresponse problems For some examples, illustrative datasets and sample programming code from popular statistical packages (e.g., SAS, R, WinBUGS) are included in the book. For others, they are available at a github site (https://github.com/he-zhang-hsu/multiple_imputation_book)

Journal Of The American Statistical Association

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Author :
language : en
Publisher:
Release Date : 2007

Journal Of The American Statistical Association written by and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2007 with Statistics categories.

Linear Mixed Models In Practice

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Author : Geert Verbeke
language : en
Publisher: Springer
Release Date : 1997-08-07

Linear Mixed Models In Practice written by Geert Verbeke and has been published by Springer this book supported file pdf, txt, epub, kindle and other format this book has been release on 1997-08-07 with Computers categories.

An examination of linear mixed models in practice, taking an SAS-oriented approach. It covers issues such as linear mixed models for longitudinal data, and contains case studies.

Uncertainty In The Risk Assessment Of Environmental And Occupational Hazards

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Author : A. John Bailer
language : en
Publisher:
Release Date : 1999

Uncertainty In The Risk Assessment Of Environmental And Occupational Hazards written by A. John Bailer and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 1999 with Medical categories.

This volume presents papers devoted to improving the understanding of the sources, and magnitude of uncertainty, in the risk assessment process for enviromental and occupational hazards. They discuss the means of reducing this uncertainty, and describe and characterize how to express it.