Skip to Main Content
 

Global Search Box

 
 
 
 

Files

File List


Vladimir Son Dissertation.pdf (1012.9 KB)

ETD Abstract Container

Abstract Header

Multivariate Population Attributable Hazard Function For Right-Censored Data

Son, Vladimir
http://rave.ohiolink.edu/etdc/view?acc_num=bgsu1380393816

Abstract Details

2013, Doctor of Philosophy (Ph.D.), Bowling Green State University, Mathematics/Mathematical Statistics.
Measuring the impact to different risk factors on a disease at the population level is an important issue in public health, which necessitates the use of Population Attributable Risk (PAR). Traditionally, methods estimating PAR have been focusing on case-control or cross-sectional studies. Although a method for estimation of PAR in cohort study that properly takes into account right-censoring time was proposed recently, the estimation of time-dependent PAR, however, has not been developed completely. In this dissertation, we explore the estimation problem of PAR with several risk factors or possible confounders for right-censored data. By partitioning the covariate space, we extend the method of attributable hazard function (AHF) to account for several risk factors. In the situation when individual AHF can be partially ordered, we develop new stepwise multiple comparisons procedure using the Partitioning Principle. The simulation study confirms the proof that the proposed procedure always strongly controls the familywise error rate. Another highlight of the dissertation focuses on the asymptotic distribution of AHF with the assumption that the distribution of a risk factor is time-independent, under Cox model. When there are confounding variables, the adjusted AHF based on the case-load weighting approach is also derived. The new proposed methods are applied to analyze real-life data set in the arthritis study.
John Chen (Advisor)
Nancy Boudreau (Committee Member)
Maria Rizzo (Committee Member)
Junfeng Shang (Committee Member)
112 p.
Statistics
Multivariate Attributable Risk; Population Attributable Risk

Recommended Citations

Citations

  • Son, V. (2013). Multivariate Population Attributable Hazard Function For Right-Censored Data [Doctoral dissertation, Bowling Green State University]. OhioLINK Electronic Theses and Dissertations Center. http://rave.ohiolink.edu/etdc/view?acc_num=bgsu1380393816

    APA Style (7th edition)

  • Son, Vladimir. Multivariate Population Attributable Hazard Function For Right-Censored Data. 2013. Bowling Green State University, Doctoral dissertation. OhioLINK Electronic Theses and Dissertations Center, http://rave.ohiolink.edu/etdc/view?acc_num=bgsu1380393816.

    MLA Style (8th edition)

  • Son, Vladimir. "Multivariate Population Attributable Hazard Function For Right-Censored Data." Doctoral dissertation, Bowling Green State University, 2013. http://rave.ohiolink.edu/etdc/view?acc_num=bgsu1380393816

    Chicago Manual of Style (17th edition)

bgsu1380393816
558
© 2013, all rights reserved.
This open access ETD is published by Bowling Green State University and OhioLINK.