Imputing Long Acting Medication Data of Chronic Asthma Patients
Name
Agnes Annilo
Abstract
Imputation is a statistical method to handle missing data. Missing data jeopardizes the ability of an analysis to accurately reflect the parent population. It is necessary that missing data are replaced correctly, to ensure that future analyses and models, which help medical specialists treat patients are more precise. The aim of this Bachelor’s thesis was to study different imputation methods using the data of Estonian asthma and chronic obstructive pulmonary disease patients and to conduct the comparison of said methods. The theoretical part of this thesis describes the possible ways to treat asthma and gives an overview of imputation and the possibility to compare imputation methods. Finally, an analysis of the chosen imputation methods and the author’s assessment of these methods is given.
Graduation Thesis language
Estonian
Graduation Thesis type
Bachelor - Computer Science
Supervisor(s)
Raivo Kolde
Defence year
2022