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Applied Linear Regression for Longitudinal Data on Hardback by Frans E.S. Tan
Applied Linear Regression for Longitudinal Data on Hardback by Frans E.S. Tan
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Applied Linear Regression for Longitudinal Data

With an Emphasis on Missing Observations
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Description

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.

Author Biography:

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.
Release date Australia
December 9th, 2022
Audiences
  • Professional & Vocational
  • Tertiary Education (US: College)
Illustrations
73 Tables, black and white; 1 Line drawings, color; 46 Line drawings, black and white; 1 Illustrations, color; 46 Illustrations, black and white
Pages
226
ISBN-13
9780367634315
Product ID
35869330

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