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...
Saved in:
Main Author: | |
---|---|
Other Authors: | |
Format: | Final Year Project |
Language: | English |
Published: |
2013
|
Subjects: | |
Online Access: | http://hdl.handle.net/10356/54236 |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Institution: | Nanyang Technological University |
Language: | English |
id |
sg-ntu-dr.10356-54236 |
---|---|
record_format |
dspace |
spelling |
sg-ntu-dr.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 |
institution |
Nanyang Technological University |
building |
NTU Library |
continent |
Asia |
country |
Singapore Singapore |
content_provider |
NTU Library |
collection |
DR-NTU |
language |
English |
topic |
DRNTU::Engineering::Electrical and electronic engineering::Applications of electronics |
spellingShingle |
DRNTU::Engineering::Electrical and electronic engineering::Applications of electronics Malhotra, Parul. Handling of missing data in medical questionnaires : a comparitive study |
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. |
author2 |
School of Electrical and Electronic Engineering |
author_facet |
School of Electrical and Electronic Engineering Malhotra, Parul. |
format |
Final Year Project |
author |
Malhotra, Parul. |
author_sort |
Malhotra, Parul. |
title |
Handling of missing data in medical questionnaires : a comparitive study |
title_short |
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_sort |
handling of missing data in medical questionnaires : a comparitive study |
publishDate |
2013 |
url |
http://hdl.handle.net/10356/54236 |
_version_ |
1772825719219421184 |