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Modern Issues and Methods in BiostatisticsMissing Data Imputation and Analysis

Modern Issues and Methods in Biostatistics: Missing Data Imputation and Analysis [Missing data are a common occurrence in scientific research and in our daily lives. In a survey, a lack of response constitutes missing data. In clinical trials, missing data can be caused by a patient’s refusal to continue in a study, treatment failures, adverse events, or patient relocations.] http://www.deepdyve.com/assets/images/DeepDyve-Logo-lg.png

Modern Issues and Methods in BiostatisticsMissing Data Imputation and Analysis

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Publisher
Springer New York
Copyright
© Springer Science+Business Media, LLC 2011
ISBN
978-1-4419-9841-5
Pages
117 –143
DOI
10.1007/978-1-4419-9842-2_5
Publisher site
See Chapter on Publisher Site

Abstract

[Missing data are a common occurrence in scientific research and in our daily lives. In a survey, a lack of response constitutes missing data. In clinical trials, missing data can be caused by a patient’s refusal to continue in a study, treatment failures, adverse events, or patient relocations.]

Published: Jun 16, 2011

Keywords: Marginal Density; Miss Data Pattern; Dropout Process; Impute Estimator; Confirmatory Clinical Trial

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