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Multiple imputation and its application

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 a...

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Bibliographic Details
Main Author: Carpenter, James R.
Other Authors: Kenward, Michael G.
Format: eBook
Language:English
Published: Chichester, West Sussex, UK Wiley 2013
Edition:First Edition 2013
Series:Statistics in Practice
Subjects:
Datenanalyse
Fehlende Daten
Multiple Imputation (statistics)
Missing Observations (statistics)
Social Sciences > Statistical Methods
Medical Statistics
Medicine > Research > Statistical Methods
Data Interpretation, Statistical
Biomedical Research > Methods
Kenward, Michael G., 1956-
Online Access:
Collection: Wiley Online Books - Collection details see MPG.ReNa
Table of Contents:
  • Introduction
  • The multiple imputation procedure and its justification
  • Multiple imputation of quantitative data
  • Multiple imputation of binary and ordinal data
  • Multiple imputation of unordered categorical data
  • Nonlinear relationships
  • Interactions
  • Survival data, skips and large datasets
  • Multilevel multiple imputation
  • Sensitivity analysis: MI unleashed
  • Including survey weights
  • Robust multiple imputation.

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