 | Applied Linear Regression for Longitudinal Data: With an Emphasis on Missing Observations Subjects: Behavioral Sciences; Mathematics & Statistics; Psychological Science; Statistics & Probability; Psychological Methods & Statistics; Statistics; This book introduces best practices in longitudinal data analysis at intermediate level, with a minimum number of formulas without sacrificing depths. It meets the need to understand statistical concepts of longitudinal data analysis by visualizing 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 visualization techniques. Key Features: It is the ideal companion for researcher and students in epidemiological, health, and social and behavioral sciences working with longitudinal studies without a mathematical background. Frans Tan is an associate professor (retired) of methodology and statistics at Maastricht University, The Netherlands. Shahab Jolani is an assistant professor of methodology and statistics at Maastricht University, The Netherlands. |
