Applied Linear Regression for Longitudinal Data: With an Emphasis on Missing Observations Tan Frans E. S.
Applied Linear Regression for Longitudinal Data: With an Emphasis on Missing Observations Tan Frans E. S. This book introduces best practices in longitudinal data analysis at intermediate level, with…
Specifikacia Applied Linear Regression for Longitudinal Data: With an Emphasis on Missing Observations Tan Frans E. S.
Applied Linear Regression for Longitudinal Data: With an Emphasis on Missing Observations Tan Frans E. S.
This book introduces best practices in longitudinal data analysis at intermediate level, with a minimum number of formulas without sacrificing depths. Different solutions such as multiple imputation are explained conceptually and consequences of missing observations are clarified using visualization techniques. It meets the need to understand statistical concepts of longitudinal data analysis by visualizing important techniques instead of using abstract mathematical formulas.
Key features include the following:Provides datasets and examples onlineGives state-of-the-art methods of dealing with missing observations in a non-technical way with a special focus on sensitivity analysisConceptualises the analysis of comparative (experimental and observational) studiesIt is the ideal companion for researchers and students in epidemiological,