碩士 / 國立臺北大學 / 統計學系 / 96 / Orthostatic hypertension (OH) is one of the cardiovascular diseases.
If a patient having stroke also has OH,
then it is possible to have a higher chance to fall or syncope during the recovery.
This may cause this patient to have possible fracture and the burden of medical cost therefore increases.
How to diagnosis OH is clinically important. However, there is no obvious clinical
method. This thesis uses a clinical data to identify potential
clinical factors that are associated with OH. Since this data
include repeatedly observed systolic pressures, patient's basic
characteristics, clinical symptoms and the OH status, the
logistic regression is not appropriate. The two-stage model
proposed by Tsiatis (1995) and the joint model proposed by
Tsiatis and Wulfson (1997) can be used to model a sequence of
predictors and survival jointly. A modified two-stage model and a
modified joint model are proposed to incorporate the sequence of
systolic pressure, risk factors and the status of OH. The large
sample properties of estimators of model parameters are derived.
Monte Carlo simulations are also performed to evaluate the
accuracy of these estimators.
| Identifer | oai:union.ndltd.org:TW/096NTPU0337013 |
| Date | January 2008 |
| Creators | TSAI,HAO-YUN, 蔡昊澐 |
| Contributors | YI-TING HWANG, 黃怡婷 |
| Source Sets | National Digital Library of Theses and Dissertations in Taiwan |
| Language | zh-TW |
| Detected Language | English |
| Type | 學位論文 ; thesis |
| Format | 54 |
Page generated in 0.0239 seconds