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Books > Medicine > General issues > Public health & preventive medicine > Epidemiology & medical statistics

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Models for Intensive Longitudinal Data (Hardcover) Loot Price: R3,341
Discovery Miles 33 410
Models for Intensive Longitudinal Data (Hardcover): Theodore A Walls, Joseph L. Schafer

Models for Intensive Longitudinal Data (Hardcover)

Theodore A Walls, Joseph L. Schafer

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Loot Price R3,341 Discovery Miles 33 410 | Repayment Terms: R313 pm x 12*

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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.

General

Imprint: Oxford UniversityPress
Country of origin: United States
Release date: February 2006
First published: 2006
Editors: Theodore A Walls • Joseph L. Schafer (both at The Methodology Center, Pennsylvania State University)
Dimensions: 241 x 162 x 19mm (L x W x T)
Format: Hardcover
Pages: 320
ISBN-13: 978-0-19-517344-4
Categories: Books > Science & Mathematics > Mathematics > Probability & statistics
Books > Social sciences > Sociology, social studies > Social research & statistics > General
Books > Medicine > General issues > Public health & preventive medicine > Epidemiology & medical statistics
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LSN: 0-19-517344-9
Barcode: 9780195173444

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