Flexible Imputation of Missing Data is a practical guide for handling missing data. The book offers a flexible and accessible framework for multiple imputation and presents strategies for obtaining effective solutions to these problems.

See what types of case studies are included.

Time Series Modeling of Neuroscience Data explains how to analyze neuroscience data using the Wiener-Kalman-Akaike approach. The book shows you how to extract neural and physiological information more efficiently.

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Also available in eBook.

Statistics of
Medical Imaging

Visualizing Data
Patterns with Micromaps

Measurement Error:
Models, Methods,
and Applications

Design and Analysis
of Quality of Life Studies
in Clinical Trials,
Second Edition

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