Functional mixed-effects model for periodic data

Mixed effects models for complex data

✍ Wu L. 📂 Library 📅 2009 🏛 CRC 🌐 English

Although standard mixed effects models are useful in a range of studies, other approaches must often be used in correlation with them when studying complex or incomplete data. Mixed Effects Models for Complex Data discusses commonly used mixed effects models and presents appropriate approaches to ad

Mixed Effects Models for Complex Data

📁 Mixed Effects Models for Complex Data

✍ Lang Wu 📂 Library 📅 2010 🏛 CRC Press 🌐 English

Although standard mixed effects models are useful in a range of studies, other approaches must often be used in correlation with them when studying complex or incomplete data. Mixed Effects Models for Complex Data discusses commonly used mixed effects models and presents appropriate approaches to ad

Mixed Effects Models for Complex Data

📁 Mixed Effects Models for Complex Data

✍ Lang Wu 📂 Library 📅 2009 🏛 Chapman and Hall/CRC 🌐 English

<P>Although standard mixed effects models are useful in a range of studies, other approaches must often be used in correlation with them when studying complex or incomplete data. <STRONG>Mixed Effects Models for Complex Data</STRONG> discusses commonly used mixed effects models and presents appropri

Nonparametric Regression Methods for Lon

📁 Nonparametric Regression Methods for Longitudinal Data Analysis: Mixed-Effects Modeling Approaches

✍ Hulin Wu, Jin-Ting Zhang 📂 Library 📅 2006 🏛 Wiley-Interscience 🌐 English

Incorporates mixed-effects modeling techniques for more powerful and efficient methodsThis book presents current and effective nonparametric regression techniques for longitudinal data analysis and systematically investigates the incorporation of mixed-effects modeling techniques into various nonpar

Nonparametric regression methods for lon

📁 Nonparametric regression methods for longitudinal data analysis: [mixed-effects modeling approaches]

✍ Hulin Wu, Jin-Ting Zhang 📂 Library 📅 2006 🏛 Wiley-Interscience 🌐 English

Longitudinal Data Analysis: Autoregressi

📁 Longitudinal Data Analysis: Autoregressive Linear Mixed Effects Models

✍ Ikuko Funatogawa, Takashi Funatogawa 📂 Library 📅 2018 🏛 Springer Singapore 🌐 English

<p>This book provides a new analytical approach for dynamic data repeatedly measured from multiple subjects over time. Random effects account for differences across subjects. Auto-regression in response itself is often used in time series analysis. In longitudinal data analysis, a static mixed effec