Handling of missing data in medical questionnaires : a comparitive study

For growth and development in different fields, research and studies are extremely important. For ensuring the success and credibility of these studies, it is often necessary to do surveys and have the target audience fill up questionnaires. These surveys and questionnaires are, however, prone to mi...

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Bibliographic Details
Main Author: Malhotra, Parul.
Other Authors: School of Electrical and Electronic Engineering
Format: Final Year Project (FYP)
Language:English
Published: 2013
Subjects:
Online Access:http://hdl.handle.net/10356/54236
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author Malhotra, Parul.
author2 School of Electrical and Electronic Engineering
author_facet School of Electrical and Electronic Engineering
Malhotra, Parul.
author_sort Malhotra, Parul.
collection NTU
description For growth and development in different fields, research and studies are extremely important. For ensuring the success and credibility of these studies, it is often necessary to do surveys and have the target audience fill up questionnaires. These surveys and questionnaires are, however, prone to missing data. The objective of this report is to understand the types of missing data that researchers often come across, and furthermore, to comprehend the previous works done on handling missing data in these questionnaires. Also, this report discusses the methods implemented and tested by the author, a comparison of the various methods tested, followed by the conclusion based on the results of this testing so as to understand the best method available for handling missing data.
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spelling ntu-10356/542362023-07-07T15:50:15Z Handling of missing data in medical questionnaires : a comparitive study Malhotra, Parul. School of Electrical and Electronic Engineering Justin Dauwels DRNTU::Engineering::Electrical and electronic engineering::Applications of electronics For growth and development in different fields, research and studies are extremely important. For ensuring the success and credibility of these studies, it is often necessary to do surveys and have the target audience fill up questionnaires. These surveys and questionnaires are, however, prone to missing data. The objective of this report is to understand the types of missing data that researchers often come across, and furthermore, to comprehend the previous works done on handling missing data in these questionnaires. Also, this report discusses the methods implemented and tested by the author, a comparison of the various methods tested, followed by the conclusion based on the results of this testing so as to understand the best method available for handling missing data. Bachelor of Engineering 2013-06-18T01:30:24Z 2013-06-18T01:30:24Z 2013 2013 Final Year Project (FYP) http://hdl.handle.net/10356/54236 en Nanyang Technological University 57 p. application/pdf
spellingShingle DRNTU::Engineering::Electrical and electronic engineering::Applications of electronics
Malhotra, Parul.
Handling of missing data in medical questionnaires : a comparitive study
title Handling of missing data in medical questionnaires : a comparitive study
title_full Handling of missing data in medical questionnaires : a comparitive study
title_fullStr Handling of missing data in medical questionnaires : a comparitive study
title_full_unstemmed Handling of missing data in medical questionnaires : a comparitive study
title_short Handling of missing data in medical questionnaires : a comparitive study
title_sort handling of missing data in medical questionnaires a comparitive study
topic DRNTU::Engineering::Electrical and electronic engineering::Applications of electronics
url http://hdl.handle.net/10356/54236
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