Title page for etd-0603104-115701


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URN etd-0603104-115701
Author Yao-wen Huang
Author's Email Address huangyw@math.nsysu.edu.tw
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Department Applied Mathematics
Year 2003
Semester 2
Degree Master
Type of Document
Language English
Title The Comparison of Parameter Estimation with Application to Massachusetts Health Care Panel Study (MHCPS) Data
Date of Defense 2004-05-28
Page Count 32
Keyword
  • Cox proportional hazards model
  • distance measure
  • Empirical algorithm
  • Kaplan and Meier algorithm
  • left-truncated and interval-censored data
  • Abstract In this paper we propose two simple algorithms to estimate parameters β and baseline survival function in Cox proportional hazard model with application to Massachusetts Health Care Panel Study (MHCPS) (Chappell, 1991) data which is a left truncated and interval censored data. We find that, in the estimation of β and baseline survival function, Kaplan and Meier algorithm is uniformly better than the Empirical algorithm. Also, Kaplan and Meier algorithm is uniformly more powerful than the Empirical algorithm in testing whether two groups of survival functions are the same. We also define a distance measure D and compare the performance of these two algorithms through β and D.
    Advisory Committee
  • Mei-hui Guo - chair
  • Fu-chuen Chang - co-chair
  • Chin-san Lee - advisor
  • Files
  • etd-0603104-115701.pdf
  • indicate in-campus access immediately and off_campus access in a year
    Date of Submission 2004-06-03

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