Document Type

Thesis

Degree

Master of Science (MS)

Major/Program

Statistics

First Advisor's Name

Florence George

First Advisor's Committee Title

Committee chair

Second Advisor's Name

Sneh Gulati

Second Advisor's Committee Title

Co-Advisor

Third Advisor's Name

B M Golam Kibria

Third Advisor's Committee Title

committee member

Keywords

statistics, physical sciences and mathematics, statistics and probability

Date of Defense

6-24-2021

Abstract

The purpose of this thesis is to do an in-depth review of logistic regression and its application. Additionally, comparison of four different methods of coefficient standardization was done using Heart Disease Dataset. These methods were compared based on testing accuracy, training accuracy, area under the curve, sensitivity, and specificity. Furthermore, logistic regression analysis was applied to National Longitudinal Study of Adolescence Health Survey (Add health) dataset to examine the relationship between anxiety or panic disorder and history of childhood maltreatment, medical conditions such as ADHD, PTSD, some socio-economic conditions and addiction. Results indicated; history of abuse has a significant effect on anxiety disorder. The number of abuses experienced also has a significant association with developing anxiety disorder later in life. Women had higher odds of having such a disorder if they faced maltreatment in their childhood. Moreover, having PTSD and Depression also increased the odds of anxiety substantially.

Identifier

FIDC010277

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