Applied Linear Regression for Longitudinal Data
With an Emphasis on Missing Observations
Seiten
2022
Chapman & Hall/CRC (Verlag)
978-0-367-63431-5 (ISBN)
Chapman & Hall/CRC (Verlag)
978-0-367-63431-5 (ISBN)
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.
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.
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.
1. Scientific Framework of Data Analysis 2. Revisiting and Shortcomings of Standard Linear Regression Models 3. An Introduction to the Analysis of Longitudinal Data 4. Model Building for Longitudinal Data Analysis 5. Analysis of a Pre/Post Measurement Design 6. Analysis of Longitudinal Life-Event Studies 7. Analysis of Longitudinal Experimental Studies
Erscheinungsdatum | 21.11.2022 |
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Reihe/Serie | Chapman & Hall/CRC Texts in Statistical Science |
Zusatzinfo | 73 Tables, black and white; 1 Line drawings, color; 46 Line drawings, black and white; 1 Illustrations, color; 46 Illustrations, black and white |
Sprache | englisch |
Maße | 156 x 234 mm |
Gewicht | 620 g |
Themenwelt | Geisteswissenschaften ► Psychologie ► Allgemeine Psychologie |
Mathematik / Informatik ► Mathematik | |
ISBN-10 | 0-367-63431-7 / 0367634317 |
ISBN-13 | 978-0-367-63431-5 / 9780367634315 |
Zustand | Neuware |
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