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
Recommended Citation
Chowdhury, Sultana Mubarika Rahman, "A Review of Logistic Regression and its Application" (2021). FIU Electronic Theses and Dissertations. 4765.
https://digitalcommons.fiu.edu/etd/4765
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