Fr. 160.00

Applied Linear Regression for Longitudinal Data - With an Emphasis on Missing Observations

English · Hardback

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Description

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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.


List of contents

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

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.

Summary

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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