Day-10 (01 September 2024): Practical Applications and Project Day

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Dr. Ajay Kumar: Faculty of Information Technology and Engineering, Gopal Narayan Singh University, Jamuhar, Rohtas (Bihar), INDIA

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Longitudinal data analysis refers to statistical techniques used to analyze data collected from the same subjects over a period of time. In biostatistics, this approach is particularly valuable because it allows researchers to study changes in health outcomes, behaviors, or biological markers in individuals across multiple time points. Unlike cross-sectional studies, which provide a snapshot at a single time, longitudinal studies help in understanding the temporal sequence of events, identify cause-and-effect relationships, and observe individual trajectories over time. This analysis can handle various complexities, such as correlated measurements within subjects, missing data, and time-varying covariates, making it a powerful tool in medical and public health research.
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