Currently Out Of Stock
Applied linear regression for longitudinal data
Hardback
€181.24
Collect 543 Reward Points
- Currently Out Of Stock
- Book Synopsis
- 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 It is the ideal companion for researchers and students in epidemiological, health, and social and behavioral sciences working with longitudinal studies without a mathematical background.
- About The Author
- Frans E.S. 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.
- Product Details
-
- ISBN
- 9780367634315
- Format
- Hardback
- Publisher
- Chapman & Hall/CRC, (09 December 2022)
- Number of Pages
- 242
- Weight
- 480 grams
- Language
- English
- Dimensions
- 234 x 240 x 23 mm
- Series:
- See all books in this series
- Categories: