Mathematics
8 years ago

Revolutionizing Longitudinal Data Analysis for Health Effects of Air Pollution

Biometrics
Random-Effects Models for Longitudinal Data
Nan M. Laird, James H. Ware

Paper Summary

The article discusses using random-effects models to analyze data collected over time. These models help understand how things change over time for different individuals. By using a combination of methods, researchers can fit these models to their data and study the health effects of air pollution.

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