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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 stateoftheart 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.
⚠️ WARNING (California Proposition 65):
This product may contain chemicals known to the State of California to cause cancer,
birth defects, or other reproductive harm.
This handbook is packed with information, but I found some sections a bit too technical for my level. It’s a solid reference for longitudinal data analysis, though, and I appreciate the rigor behind it. Just be prepared to take your time with it if you’re not already familiar with the topic.
M
Marcus Lee
Good resource but a bit dense
This handbook is packed with information, but I found some sections a bit too technical for my level. It’s a solid reference for longitudinal data analysis, though, and I appreciate the rigor behind it. Just be prepared to take your time with it if you’re not already familiar with the topic.
M
Marcus Lee
Good resource but a bit dense
This handbook is packed with information, but I found some sections a bit too technical for my level. It’s a solid reference for longitudinal data analysis, though, and I appreciate the rigor behind it. Just be prepared to take your time with it if you’re not already familiar with the topic.
A
Ana Gomez
A Must-Have for Stats Students
I recently bought this handbook for my graduate statistics course, and it’s been invaluable. The explanations of longitudinal data analysis are clear and thorough. I especially love the real-world examples, which help connect theory to practice. Definitely a great resource for anyone tackling complex data!
A
Ana Gomez
A Must-Have for Stats Students
I recently bought this handbook for my graduate statistics course, and it’s been invaluable. The explanations of longitudinal data analysis are clear and thorough. I especially love the real-world examples, which help connect theory to practice. Definitely a great resource for anyone tackling complex data!
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