- Library Home /
- Search Collections /
- Open Collections /
- Browse Collections /
- UBC Theses and Dissertations /
- Analysis of longitudinal data of mixed types using...
Open Collections
UBC Theses and Dissertations
UBC Theses and Dissertations
Analysis of longitudinal data of mixed types using a state space model approach Ching, Billy K. S.
Abstract
A new method for multivariate regression analysis of longitudinal data of mixed types is applied to the data from a sub-study of the Betaseron multicenter clinical trial in relapsing-remitting multiple sclerosis (MS) (The IFNB Multiple Sclerosis Study Group, 1993). The sub-study is based on a cohort of 52 patients at one center (University of British Columbia) for frequent magnetic resonance imagings (MRIs) for analysis of disease activity over the first two years of the trial (Paty, Li, the UBC MS/MRI Study Group and the IFNB Multiple Sclerosis Study Group, 1993). We consider a bivariate response vector with two different data types as components. The first component is a positive continuous variable and the second one is a count variable. We use a state space model approach based on the Tweedie class of exponential dispersion models assuming conditional independence of the two components given a latent gamma Markov process. The latent process is interpreted as the underlying severity of the disease whereas the observations reflect the symptoms. One advantage the new method offers is that it enables the examination of patterns over time. Not only can it identify the presence of treatment effect, but also the nature of the effect. It has well been established that Betaseron has substantially altered the natural history of MS in a properly controlled clinical trial (The IFNB Multiple Sclerosis Study Group, 1993). The main objective of this thesis is to illustrate the utilization of the new method using this data set and to extract additional valuable information from the data.
Item Metadata
Title |
Analysis of longitudinal data of mixed types using a state space model approach
|
Creator | |
Publisher |
University of British Columbia
|
Date Issued |
1997
|
Description |
A new method for multivariate regression analysis of longitudinal data of mixed types
is applied to the data from a sub-study of the Betaseron multicenter clinical trial in
relapsing-remitting multiple sclerosis (MS) (The IFNB Multiple Sclerosis Study Group,
1993). The sub-study is based on a cohort of 52 patients at one center (University of
British Columbia) for frequent magnetic resonance imagings (MRIs) for analysis of disease
activity over the first two years of the trial (Paty, Li, the UBC MS/MRI Study
Group and the IFNB Multiple Sclerosis Study Group, 1993). We consider a bivariate
response vector with two different data types as components. The first component is a
positive continuous variable and the second one is a count variable. We use a state space
model approach based on the Tweedie class of exponential dispersion models assuming
conditional independence of the two components given a latent gamma Markov process.
The latent process is interpreted as the underlying severity of the disease whereas the observations
reflect the symptoms. One advantage the new method offers is that it enables
the examination of patterns over time. Not only can it identify the presence of treatment
effect, but also the nature of the effect. It has well been established that Betaseron has
substantially altered the natural history of MS in a properly controlled clinical trial (The
IFNB Multiple Sclerosis Study Group, 1993). The main objective of this thesis is to
illustrate the utilization of the new method using this data set and to extract additional
valuable information from the data.
|
Extent |
5167121 bytes
|
Genre | |
Type | |
File Format |
application/pdf
|
Language |
eng
|
Date Available |
2009-03-24
|
Provider |
Vancouver : University of British Columbia Library
|
Rights |
For non-commercial purposes only, such as research, private study and education. Additional conditions apply, see Terms of Use https://open.library.ubc.ca/terms_of_use.
|
DOI |
10.14288/1.0087894
|
URI | |
Degree | |
Program | |
Affiliation | |
Degree Grantor |
University of British Columbia
|
Graduation Date |
1997-11
|
Campus | |
Scholarly Level |
Graduate
|
Aggregated Source Repository |
DSpace
|
Item Media
Item Citations and Data
Rights
For non-commercial purposes only, such as research, private study and education. Additional conditions apply, see Terms of Use https://open.library.ubc.ca/terms_of_use.