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Infectious disease accounts for more death and disability worldwide than either noninfectious disease or injury. This book contains a number of different quantitative approaches to understanding the patterns of such diseases in populations, and the design of control strategies to lessen their effect. The papers are written by experts with varied mathematical expertise and involvement in biological, medical and social sciences. The volume increases interaction between specialties by describing research on many infectious diseases that affect humans, including viral diseases, such as measles...

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 address dropouts, missing data, measurement errors, censoring, and outliers. For each class of mixed effects model, the author reviews the corresponding class of regression model for cross-sectional data.

An overview of general models and methods, along with motivating...

Infectious disease accounts for more death and disability worldwide than either noninfectious disease or injury. This book contains a number of different quantitative approaches to understanding the patterns of such diseases in populations, and the design of control strategies to lessen their effect. The papers are written by experts with varied mathematical expertise and involvement in biological, medical and social sciences. The volume increases interaction between specialties by describing research on many infectious diseases that affect humans, including viral diseases, such as measles...