Although many books currently available describe statistical models and methods for analyzing longitudinal data, they do not highlight connections between various research threads in the statistical literature. Responding to this void, Longitudinal Data Analysis provides a clear, comprehensive, and unified overview of state-of-the-art theory and applications. It also focuses on the assorted challenges that arise in analyzing longitudinal data.
After discussing historical aspects, leading researchers explore four broad themes: parametric modeling, nonparametric and semiparametric methods, joint models, and incomplete data. Each of these sections begins with an introductory chapter that provides useful background material and a broad outline to set the stage for subsequent chapters. Rather than focus on a narrowly defined topic, chapters integrate important research discussions from the statistical literature. They seamlessly blend theory with applications and include examples and case studies from various disciplines.
Destined to become a landmark publication in the field, this carefully edited collection emphasizes statistical models and methods likely to endure in the future. Whether involved in the development of statistical methodology or the analysis of longitudinal data, readers will gain new perspectives on the field.
Les informations fournies dans la section « Synopsis » peuvent faire référence à une autre édition de ce titre.
Garrett Fitzmaurice, Marie Davidian, Geert Verbeke, Geert Molenberghs
Les informations fournies dans la section « A propos du livre » peuvent faire référence à une autre édition de ce titre.
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Etat : Sehr gut. Zustand: Sehr gut | Seiten: 632 | Sprache: Englisch | Produktart: Bücher | With contributions from some of the most prominent researchers in the field, this carefully edited collection provides a clear, comprehensive, and unified overview of recent developments in statistical methods for the analysis of longitudinal data. Focusing on both theory and applications, it addresses challenges that arise in analyzing longitudinal data, emphasizes statistical models and methods likely to endure in the future, highlights connections between various research threads in the statistical literature, and contains numerous examples and case studies drawn from a range of disciplines. Data sets, software programs, and other material are available on the editors' website. N° de réf. du vendeur 4788818/202
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