File Download
 
 
Supplementary

Postgraduate Thesis: The use of different statistical approaches in examining the longitudinal change in quality of life
  • Basic View
  • Metadata View
  • XML View
TitleThe use of different statistical approaches in examining the longitudinal change in quality of life
 
AuthorsWong, Hiu-fai, Jennifer.
王曉暉
 
Issue Date2012
 
PublisherThe University of Hong Kong (Pokfulam, Hong Kong)
 
AbstractQuality of life (QoL) is now firmly recognized as a significant outcome measure in public health, clinical and patient care research (1, 2). Despite a growing trend in conducting longitudinal QoL studies, the longitudinal changes in QoL in the general population remain poorly understood due to the limited number of studies. Furthermore, few studies have discussed the use of different statistical methods in analyzing the longitudinal change in QoL. This paper aimed to discuss the application of traditional statistical approach: R-ANOVA and newer statistical approaches: LMM and LGCA in analyzing the longitudinal change in QoL. The underlying assumptions, characteristics and specifications of each of the statistical methods were explained. Different public health studies that examined the longitudinal change of QoL would be elaborated in order to show how the criterions of each statistical method were fulfilled in the research analysis. Additionally, the limitations of applying the traditional statistical approach: R-ANOVA and the newer statistical approaches: LMM and LGCA in analyzing longitudinal QoL data will be discussed with the emphasis on how each analytical method overcome the weaknesses of one another. The understanding of the application of different statistical approaches in analyzing the longitudinal change in QoL can advance the future development of a robust statistical approach for QoL research.
 
DegreeMaster of Public Health
 
SubjectQuality of life - Statistical methods.
 
Dept/ProgramCommunity Medicine
 
DC FieldValue
dc.contributor.authorWong, Hiu-fai, Jennifer.
 
dc.contributor.author王曉暉
 
dc.date.hkucongregation2012
 
dc.date.issued2012
 
dc.description.abstractQuality of life (QoL) is now firmly recognized as a significant outcome measure in public health, clinical and patient care research (1, 2). Despite a growing trend in conducting longitudinal QoL studies, the longitudinal changes in QoL in the general population remain poorly understood due to the limited number of studies. Furthermore, few studies have discussed the use of different statistical methods in analyzing the longitudinal change in QoL. This paper aimed to discuss the application of traditional statistical approach: R-ANOVA and newer statistical approaches: LMM and LGCA in analyzing the longitudinal change in QoL. The underlying assumptions, characteristics and specifications of each of the statistical methods were explained. Different public health studies that examined the longitudinal change of QoL would be elaborated in order to show how the criterions of each statistical method were fulfilled in the research analysis. Additionally, the limitations of applying the traditional statistical approach: R-ANOVA and the newer statistical approaches: LMM and LGCA in analyzing longitudinal QoL data will be discussed with the emphasis on how each analytical method overcome the weaknesses of one another. The understanding of the application of different statistical approaches in analyzing the longitudinal change in QoL can advance the future development of a robust statistical approach for QoL research.
 
dc.description.naturepublished_or_final_version
 
dc.description.thesisdisciplineCommunity Medicine
 
dc.description.thesislevelmaster's
 
dc.description.thesisnameMaster of Public Health
 
dc.identifier.hkulb4765755
 
dc.languageeng
 
dc.publisherThe University of Hong Kong (Pokfulam, Hong Kong)
 
dc.relation.ispartofHKU Theses Online (HKUTO)
 
dc.rightsThe author retains all proprietary rights, (such as patent rights) and the right to use in future works.
 
dc.rightsCreative Commons: Attribution 3.0 Hong Kong License
 
dc.source.urihttp://hub.hku.hk/bib/B47657558
 
dc.subject.lcshQuality of life - Statistical methods.
 
dc.titleThe use of different statistical approaches in examining the longitudinal change in quality of life
 
dc.typePG_Thesis
 
<?xml encoding="utf-8" version="1.0"?>
<item><contributor.author>Wong, Hiu-fai, Jennifer.</contributor.author>
<contributor.author>&#29579;&#26313;&#26249;</contributor.author>
<date.issued>2012</date.issued>
<description.abstract>&#65279;Quality of life (QoL) is now firmly recognized as a significant outcome measure in

public health, clinical and patient care research (1, 2). Despite a growing trend in

conducting longitudinal QoL studies, the longitudinal changes in QoL in the general

population remain poorly understood due to the limited number of studies.

Furthermore, few studies have discussed the use of different statistical methods in

analyzing the longitudinal change in QoL. This paper aimed to discuss the

application of traditional statistical approach: R-ANOVA and newer statistical

approaches: LMM and LGCA in analyzing the longitudinal change in QoL. The

underlying assumptions, characteristics and specifications of each of the statistical

methods were explained. Different public health studies that examined the

longitudinal change of QoL would be elaborated in order to show how the criterions

of each statistical method were fulfilled in the research analysis. Additionally, the

limitations of applying the traditional statistical approach: R-ANOVA and the newer

statistical approaches: LMM and LGCA in analyzing longitudinal QoL data will be

discussed with the emphasis on how each analytical method overcome the

weaknesses of one another. The understanding of the application of different

statistical approaches in analyzing the longitudinal change in QoL can advance the

future development of a robust statistical approach for QoL research.</description.abstract>
<language>eng</language>
<publisher>The University of Hong Kong (Pokfulam, Hong Kong)</publisher>
<relation.ispartof>HKU Theses Online (HKUTO)</relation.ispartof>
<rights>The author retains all proprietary rights, (such as patent rights) and the right to use in future works.</rights>
<rights>Creative Commons: Attribution 3.0 Hong Kong License</rights>
<source.uri>http://hub.hku.hk/bib/B47657558</source.uri>
<subject.lcsh>Quality of life - Statistical methods.</subject.lcsh>
<title>The use of different statistical approaches in examining the longitudinal change in quality of life</title>
<type>PG_Thesis</type>
<identifier.hkul>b4765755</identifier.hkul>
<description.thesisname>Master of Public Health</description.thesisname>
<description.thesislevel>master&apos;s</description.thesislevel>
<description.thesisdiscipline>Community Medicine</description.thesisdiscipline>
<description.nature>published_or_final_version</description.nature>
<date.hkucongregation>2012</date.hkucongregation>
<bitstream.url>http://hub.hku.hk/bitstream/10722/174450/1/FullText.pdf</bitstream.url>
</item>