Title

Approaches to analyze clustered data

Date of Award

Spring 2022

Degree Name

Bachelor of Science

Department

Computer Science & Mathematics; College of Arts & Sciences

First Advisor

Dr. Weihong Ni

Abstract

In statistical analysis, ignoring the clustered structure of data can lead to invalid results and statistical tests to be falsely rejected too often. Through R simulations, we investigated the effect of neglecting data clustering and explored statistical approaches that take data clustering into account. Our results and findings are consistent with the literature.

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Approaches to analyze clustered data

In statistical analysis, ignoring the clustered structure of data can lead to invalid results and statistical tests to be falsely rejected too often. Through R simulations, we investigated the effect of neglecting data clustering and explored statistical approaches that take data clustering into account. Our results and findings are consistent with the literature.