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Models for Intensive Longitudinal Data (Hardcover)
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Models for Intensive Longitudinal Data (Hardcover)
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Rapid technological advances in devices used for data collection
have led to the emergence of a new class of longitudinal data:
intensive longitudinal data (ILD). Behavioral scientific studies
now frequently utilize handheld computers, beepers, web interfaces,
and other technological tools for collecting many more data points
over time than previously possible. Other protocols, such as those
used in fMRI and monitoring of public safety, also produce ILD,
hence the statistical models in this volume are applicable to a
range of data. The volume features state-of-the-art statistical
modeling strategies developed by leading statisticians and
methodologists working on ILD in conjunction with behavioral
scientists. Chapters present applications from across the
behavioral and health sciences, including coverage of substantive
topics such as stress, smoking cessation, alcohol use, traffic
patterns, educational performance and intimacy.
Models for Intensive Longitudinal Data (MILD) is designed for
those who want to learn about advanced statistical models for
intensive longitudinal data and for those with an interest in
selecting and applying a given model. The chapters highlight issues
of general concern in modeling these kinds of data, such as a focus
on regulatory systems, issues of curve registration, variable
frequency and spacing of measurements, complex multivariate
patterns of change, and multiple independent series. The
extraordinary breadth of coverage makes this an indispensable
reference for principal investigators designing new studies that
will introduce ILD, applied statisticians working on related
models, and methodologists, graduate students, and applied analysts
working in arange of fields. A companion Web site at
www.oup.com/us/MILD contains program examples and documentation.
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