Applied Linear Regression for Longitudinal Data: With an Emphasis on Missing Observations (Chapman & Hall/CRC Texts in Statistical Science)

Tan, Frans E.S./ Jolani, Shahab

ISBN 10: 0367634317 / ISBN 13: 9780367634315

Published by Chapman and Hall/CRC, 2022

About this Item

280 pages. 9.19x6.13x0.75 inches. In Stock.

Seller Inventory # __0367634317

Bibliographic Details

• Title: Applied Linear Regression for Longitudinal Data: With an Emphasis on Missing Observations (Chapman & Hall/CRC Texts in Statistical Science)
• Publisher: Chapman and Hall/CRC
• Publication Date: 2022
• Language: English
• ISBN 10: 0367634317
• ISBN 13: 9780367634315
• Binding: Hardcover
• Condition: Brand New
• Weight: 0.62 kilograms

About this title

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.