{"product_id":"models-for-intensive-longitudinal-data-9780195173444","title":"Models for Intensive Longitudinal Data","description":"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\u003cbr\u003ecollecting 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\u003cbr\u003emodeling 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, \u003cbr\u003etraffic patterns, educational performance, and intimacy.\u003cbr\u003e \u003cem\u003eModels for Intensive Longitudinal Data (MILD)\u003c\/em\u003e 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 the general concern in modeling these kinds\u003cbr\u003eof 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\u003cbr\u003einvestigators designing new studies that will introduce ILD, applied statisticians working on related models, methodologists, graduate students, and applied analysts working in a range of fields. A companion \u003cbr\u003e\u003cbr\u003e\u003cb\u003eAuthor:\u003c\/b\u003e Theodore A. Walls\u003cbr\u003e\u003cb\u003ePublisher:\u003c\/b\u003e Oxford University Press, USA\u003cbr\u003e\u003cb\u003ePublished:\u003c\/b\u003e 01\/19\/2006\u003cbr\u003e\u003cb\u003ePages:\u003c\/b\u003e 320\u003cbr\u003e\u003cb\u003eBinding Type:\u003c\/b\u003e Hardcover\u003cbr\u003e\u003cb\u003eWeight:\u003c\/b\u003e 1.27lbs\u003cbr\u003e\u003cb\u003eSize:\u003c\/b\u003e 9.42h x 6.59w x 0.76d\u003cbr\u003e\u003cb\u003eISBN:\u003c\/b\u003e 9780195173444\u003cbr\u003e\n\u003cp\u003e\u003cb\u003eAbout the Author\u003c\/b\u003e\u003cbr\u003e\u003cbr\u003e\u003cstrong\u003eTheodore A. Walls, Ph.D.\u003c\/strong\u003e, is a Professor of Psychology at the University of Rhode Island. As a research scientist at The Methodology Center at The Pennsylvania State University, Dr. Walls developed methods for the analysis of intensive longitudinal data and convened the international study group whose work led to the publication of this volume. His current work is focused on the development of models reflecting dynamic intraindividual processes.\u003c\/p\u003e\n\u003cp\u003e\u003cbr\u003e \u003cstrong\u003eJoseph L. Schafer, Ph.D.\u003c\/strong\u003e, is an Associate Professor of Statistics and an Investigator at The Methodology Center at The Pennsylvania State University. Dr. Schafer has developed techniques for analyzing incomplete data and incorporating missing-data uncertainty into statistical inference. His areas of research also include latent-class and latent transition analysis, nonsampling errors in surveys and censuses, strategies for statistical computing and software development, and statistical methods for causal inference.\u003cbr\u003e\u003cbr\u003e\u003c\/p\u003e\n\u003cp\u003e\u003ci\u003eThis title is not returnable\u003c\/i\u003e\u003cbr\u003e\u003c\/p\u003e","brand":"Oxford University Press, USA","offers":[{"title":"Hardcover","offer_id":40435091570803,"sku":"9.7802E+12","price":188.21,"currency_code":"USD","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0555\/9255\/0515\/products\/img_1fd63cc6-80d8-43c1-b010-0a47dd8c49e4.jpg?v=1663076767","url":"https:\/\/bookstorenmore.com\/products\/models-for-intensive-longitudinal-data-9780195173444","provider":"Bookstore N More","version":"1.0","type":"link"}