Frans E. S. Tan, Shahab Jolani

Applied Linear Regression for Longitudinal Data (eBook, ePUB)

With an Emphasis on Missing Observations

• Format: ePub

Produktbeschreibung

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.

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Produktdetails

• Verlag: Taylor & Francis
• Seitenzahl: 248
• Erscheinungstermin: 9. Dezember 2022
• Englisch
• ISBN-13: 9781000798258
• Artikelnr.: 66243535

Autorenporträt

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.

Inhaltsangabe

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