Applied Longitudinal Data Analysis for Medical Science: A Practical Guide

Twisk, Jos W. R.

ISBN 10: 1009288040 / ISBN 13: 9781009288040

Verlag: Cambridge University Press, 2023

Beschreibung

Mild to Moderate creasing / bending to covers and pages. Book is otherwise very clean, unmarked and 100% functional.

Bestandsnummer des Verkäufers mon0003704832

Bibliografische Details

• Titel: Applied Longitudinal Data Analysis for Medical Science: A Practical Guide
• Verlag: Cambridge University Press
• Erscheinungsjahr: 2023
• Sprache: Englisch
• ISBN-10: 1009288040
• ISBN-13: 9781009288040
• Einband: hardcover
• Auflage: 3. Auflage
• Zustand: Very Good

Über diesen Titel

Inhaltsangabe

Essential for non-statisticians and researchers working with longitudinal data from medical studies, this updated new edition discusses the most important techniques available for analysing data of this type. Using non-technical language, the book explores simple methods such as the paired t-test and summary statistics as well as more sophisticated regression-based methods, including mixed model analysis. The emphasis of the discussion lies in the interpretation of the results of these different methods, covering data analysis with continuous, dichotomous, categorical and other outcome variables. Datasets used throughout the book are provided, enabling readers to re-analyse the examples as they make their way through chapters and improve their understanding of the material. Finally, an extensive and practical overview of, and comparison between, different software packages is provided. Readers will be able to use this book as a practical manual in their everyday work without needing a strong background in statistics.

Über die Autorin bzw. den Autor

Jos W. R. Twisk is a Professor in the Department of Epidemiology and Data Science at Amsterdam Umc, Amsterdam, The Netherlands. He specialises in the methodological field of longitudinal data analysis and multilevel/mixed model analysis, and is head of the expertise center for Applied Longitudinal Data Analysis at the Amsterdam Umc.