Applied Linear Regression for Longitudinal Data : With an Emphasis on Missing Observations Hardback
by Frans E.S. Tan, Shahab Jolani
Part of the Chapman & Hall/CRC Texts in Statistical Science series
Hardback
Description
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 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.
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Only a few left - usually despatched within 24 hours
- Format:Hardback
- Pages:226 pages, 73 Tables, black and white; 1 Line drawings, color; 46 Line drawings, black and white; 1
- Publisher:Taylor & Francis Ltd
- Publication Date:09/12/2022
- Category:
- ISBN:9780367634315
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Information
-
Only a few left - usually despatched within 24 hours
- Format:Hardback
- Pages:226 pages, 73 Tables, black and white; 1 Line drawings, color; 46 Line drawings, black and white; 1
- Publisher:Taylor & Francis Ltd
- Publication Date:09/12/2022
- Category:
- ISBN:9780367634315
