| 书目名称 | Time-Varying Effect Modeling for the Behavioral, Social, and Health Sciences | | 编辑 | Stephanie T. Lanza,Ashley N. Linden-Carmichael | | 视频video | | | 概述 | Introduces applied behavioral and health scientists to a new analytic method, the time-varying effect model (TVEM).Details the use of TVEM to advance research on developmental and dynamic processes by | | 图书封面 |  | | 描述 | .This book is the first to introduce applied behavioral, social, and health sciences researchers to a new analytic method, the time-varying effect model (TVEM). It details how TVEM may be used to advance research on developmental and dynamic processes by examining how associations between variables change across time. The book describes how TVEM is a direct and intuitive extension of standard linear regression; whereas standard linear regression coefficients are static estimates that do not change with time, TVEM coefficients are allowed to change as continuous functions of real time, including developmental age, historical time, time of day, days since an event, and so forth..The book introduces readers to new research questions that can be addressed by applying TVEM in their research. Readers gain the practical skills necessary for specifying a wide variety of time-varying effect models, including those with continuous, binary, and count outcomes. The book presents technical details of TVEM estimation and three novel empirical studies focused on developmental questions using TVEM to estimate age-varying effects, historical shifts in behavior and attitudes, and real-time changes a | | 出版日期 | Book 2021 | | 关键词 | Age-varying prevalence of heavy drinking; Coefficient functions in TVEM; Functional data analysis and | | 版次 | 1 | | doi | https://doi.org/10.1007/978-3-030-70944-0 | | isbn_softcover | 978-3-030-70946-4 | | isbn_ebook | 978-3-030-70944-0 | | copyright | Springer Nature Switzerland AG 2021 |
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发表于 2025-3-21 18:09:54
