Linear mixed-effects models (LMMs) are an important class of statistical models that can be used to analyze correlated data. Such data are encountered in a variety of fields including biostatistics, public health, psychometrics, educational measurement, and sociology. This book aims to support a wid[...]
Simplifying the often confusing array of software programs for fitting linear mixed models (LMMs), "Linear Mixed Models: A Practical Guide Using Statistical Software" provides a basic introduction to primary concepts, notation, software implementation, model interpretation, and visualization of clus[...]