Multiple Imputation and its Application (Record no. 1759)

MARC details
000 -LEADER
fixed length control field 03033 a2200217 4500
003 - CONTROL NUMBER IDENTIFIER
control field OSt
005 - DATE AND TIME OF LATEST TRANSACTION
control field 20190902131610.0
008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION
fixed length control field 190902b ||||| |||| 00| 0 eng d
020 00 - INTERNATIONAL STANDARD BOOK NUMBER
International Standard Book Number 9780470740521
040 ## - CATALOGING SOURCE
Transcribing agency IIMV
082 0# - DEWEY DECIMAL CLASSIFICATION NUMBER
Classification number 610.724 CAR
100 1# - MAIN ENTRY--PERSONAL NAME
Personal name James Carpenter
Relator term Author
9 (RLIN) 1219
245 0# - TITLE STATEMENT
Title Multiple Imputation and its Application
Statement of responsibility, etc. by James Carpenter
260 ## - PUBLICATION, DISTRIBUTION, ETC.
Name of publisher, distributor, etc. Wiley
Place of publication, distribution, etc. UK
Date of publication, distribution, etc. 2013
300 ## - PHYSICAL DESCRIPTION
Extent xviii, 345 pages:
Other physical details Illustrations;
Dimensions 25 cm.
505 0# - FORMATTED CONTENTS NOTE
Formatted contents note TABLE OF CONTENTS<br/>Preface xi<br/><br/>Data acknowledgements xiii<br/><br/>Acknowledgements xv<br/><br/>Glossary xvii<br/><br/>PART I FOUNDATIONS 1<br/><br/>1 Introduction 3<br/><br/>1.1 Reasons for missing data 4<br/><br/>1.2 Examples 6<br/><br/>1.3 Patterns of missing data 7<br/><br/>1.3.1 Consequences of missing data 9<br/><br/>1.4 Inferential framework and notation 10<br/><br/>1.4.1 Missing Completely At Random (MCAR) 11<br/><br/>1.4.2 Missing At Random (MAR) 12<br/><br/>1.4.3 Missing Not At Random (MNAR) 17<br/><br/>1.4.4 Ignorability 21<br/><br/>1.5 Using observed data to inform assumptions about the missingness mechanism 21<br/><br/>1.6 Implications of missing data mechanisms for regression analyses 24<br/><br/>1.6.1 Partially observed response 24<br/><br/>1.6.2 Missing covariates 28<br/><br/>1.6.3 Missing covariates and response 30<br/><br/>1.6.4 Subtle issues I: The odds ratio 30<br/><br/>1.6.5 Implication for linear regression 32<br/><br/>1.6.6 Subtle issues II: Subsample ignorability 33<br/><br/>1.6.7 Summary: When restricting to complete records is valid 34<br/><br/>1.7 Summary 35<br/><br/>2 The multiple imputation procedure and its justification 37<br/><br/>2.1 Introduction 37<br/><br/>2.2 Intuitive outline of the MI procedure 38<br/><br/>2.3 The generic MI procedure 44<br/><br/>2.4 Bayesian justification of MI 46<br/><br/>2.5 Frequentist inference 48<br/><br/>2.5.1 Large number of imputations 49<br/><br/>2.5.2 Small number of imputations 49<br/><br/>2.6 Choosing the number of imputations 54<br/><br/>2.7 Some simple examples 55<br/><br/>2.8 MI in more general settings 62<br/><br/>2.8.1 Survey sample settings 70<br/><br/>2.9 Constructing congenial imputation models 70<br/><br/>2.10 Practical considerations for choosing imputation models 71<br/><br/>2.11 Discussion 73
520 3# - SUMMARY, ETC.
Summary, etc. 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.<br/><br/>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 ...
650 0# - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name entry element Statistics
9 (RLIN) 1220
700 ## - ADDED ENTRY--PERSONAL NAME
Dates associated with a name Michael Kenward
9 (RLIN) 1221
942 ## - ADDED ENTRY ELEMENTS (KOHA)
Source of classification or shelving scheme Dewey Decimal Classification
Koha item type Book
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Withdrawn status Lost status Source of classification or shelving scheme Damaged status Not for loan Collection code Home library Current library Shelving location Date acquired Source of acquisition Cost, normal purchase price Total Checkouts Full call number Barcode Date last seen Cost, replacement price Price effective from Koha item type
    Dewey Decimal Classification     Non-fiction Indian Institute of Management Visakhapatnam Indian Institute of Management Visakhapatnam General Stacks 09/02/2019 3 4.00   610.724 CAR 001205 09/02/2019 6082.85 09/02/2019 Book

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