Applied Linear Regression for Longitudinal Data
Applied Linear Regression for Longitudinal Data by Frans E.S. Tan, Shahab Jolani
English | December 9, 2022 | ISBN: 0367634317 | 248 pages | MOBI | 6.05 Mb
English | December 9, 2022 | ISBN: 0367634317 | 248 pages | MOBI | 6.05 Mb
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 include the following:
- Provides datasets and examples online
- Gives state-of-the-art methods of dealing with missing observations in a non-technical way with a special focus on sensitivity analysis
- Conceptualises the analysis of comparative (experimental and observational) studies
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