Applied Linear Regression for Longitudinal Data (Chapman & Hall/CRC Texts in Statistical Science)

This book introduces best practices in longitudinal data analysis at an intermediate level, with a minimum number of formulas without sacrificing depths. It meets the need to understand statistical concepts of longitudinal data analysis by visualising important techniques instead of using abstract mathematical formulas. Different solutions such as multiple imputation are explained conceptually, and consequences of missing observations are clarified using visualisation techniques. Key features include the following: It is the ideal companion for researchers and students in epidemiological, health, and social and behavioural sciences working with longitudinal studies without a mathematical background.