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Data Wrangling
Cleaning and Transforming Data for Longitudinal Analysis
Table of Contents
Introduction
Goals of Data Cleaning and Transformation
1. Handling Missing Data in Longitudinal Datasets
2. Reshaping Data: From Wide to Long Format
3. Detecting and Handling Outliers
4. Standardizing and Normalizing Variables
5. Managing Time-Varying Covariates
Conclusion
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