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Imputation of Missing Data

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Part of the book series: Use R! ((USE R))

Abstract

Below is a subset of data from a smoking cessation study for smokers newly diagnosed with cancer.Patients were assessed for anxiety and depression at baseline using the Hospital Anxiety and Depression Scale (Zigmond and Snaith 1983), at least 7 days before they were hospitalized for surgery. The baseline assessments of anxiety and depression were scored and saved into variables ANX.ba and DPR.ba, respectively. The scores were centered by subtracting their respective averages of available data (average ANX.ba of 8.9 and average DPR.ba of 4.2).

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Notes

  1. 1.

    NCI grant R01CA90514 to Jamie Ostroff, PhD.

  2. 2.

    http://gking.harvard.edu/amelia/, last accessed April, 2011.

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Correspondence to Yuelin Li .

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© 2012 Springer Science+Business Media, LLC

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Li, Y., Baron, J. (2012). Imputation of Missing Data. In: Behavioral Research Data Analysis with R. Use R!. Springer, New York, NY. https://doi.org/10.1007/978-1-4614-1238-0_9

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