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
Mixed Effects Models for the Population Approach: Models, Tasks, Methods and Tools
โ Scribed by Marc Lavielle; Kevin Bleakley
- Publisher
- CRC Press/Taylor & Francis Group
- Year
- 2014
- Tongue
- English
- Leaves
- 380
- Series
- Chapman & Hall/CRC Biostatistics Series
- Category
- Library
No coin nor oath required. For personal study only.
โฆ Synopsis
''This book presents wide-ranging coverage of parametric modeling in linear and nonlinear mixed-effects models. Using these models, readers can perform parameter estimation across a whole population of individuals at the same time. The book takes readers through the whole modeling process, from defining/creating a parametric model to performing tasks on the model using various mathematical methods. It also includes Read more...
Abstract: ''This book presents wide-ranging coverage of parametric modeling in linear and nonlinear mixed-effects models. Using these models, readers can perform parameter estimation across a whole population of individuals at the same time. The book takes readers through the whole modeling process, from defining/creating a parametric model to performing tasks on the model using various mathematical methods. It also includes numerous case studies and illustrates the use of the MONOLIX software''--Provided by publisher
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