TY  - BOOK
AU  - Tan , Frans E.S
AU  - Jolani, Shahab 
TI  - Applied Linear Regression for Longitudinal Data: : With an Emphasis on Missing Observations
T2  - Chapman & Hall/CRC Texts in Statistical Science Series
SN  - 9780367634315
PY  - 2023///
CY  - Boca Raton
PB  - CRC Press/Taylor & Francis
KW  - Longitudinal data
KW  - Linear regression
KW  - Scientific framework
KW  - Missing observations
N1  - Includes references and index
N2  - 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. Provides datasets and examples onlineGives state-of-the-art methods of dealing with missing observations in a non-technical way with a special focus on sensitivity analysisConceptualises the analysis of comparative (experimental and observational) studiesIt is the ideal companion for researchers and students in epidemiological, health, and social and behavioral sciences working with longitudinal studies without a mathematical background
ER  -