Now showing items 1-20 of 20

  • Bayesian non-linear methods for survival analysis and structural equation models 

    Wang, Zhenyu (Statistician) ([University of Missouri--Columbia], 2014)
    High dimensional data are more common nowadays, because the collection of such data becomes larger and more complex due to the technology advance of the computer science, biology, etc. The analysis of high dimensional data ...
  • Bayesian variable selection in parametric and semiparametric high dimensional survival analysis 

    Lee, Kyu Ha (University of Missouri--Columbia, 2011)
    In this dissertation, we propose several Bayesian variable selection schemes for Bayesian parametric and semiparametric survival models for right-censored survival data. In the rst chapter we introduce a special shrinkage ...
  • Estimates of school productivity and implications for policy 

    Peng, Xiao (University of Missouri--Columbia, 2007)
    School productivity was not perfectly estimated because of the sampling error and the measurement error. The traditional Ordinary Least Square (OLS) leaves the estimation of school productivity questionable. Moreover, ...
  • Multiple imputation approaches to regression analysis of interval-censored failure time data 

    Chen, Ling, 1973- (University of Missouri--Columbia, 2009)
    [ACCESS RESTRICTED TO THE UNIVERSITY OF MISSOURI AT REQUEST OF AUTHOR.] This dissertation discusses regression analysis of interval-censored failure time data, which occur in many fields including demographical, epidemiological, ...
  • Nonparametric analysis of interval-censored failure time data 

    Gorelick, Jeremy, 1981- (University of Missouri--Columbia, 2009)
    This thesis considers the problem of treatment comparisons when only interval-censored failure time data are available. This type of data occurs frequently in clinical trials and other follow-up studies. We study several ...
  • The nonparametric analysis of interval-censored failure time data 

    Duan, Ran (University of Missouri--Columbia, 2013)
    By interval-censored failure time data, we mean that the failure time of interest is observed to belong to some windows or intervals, instead of being known exactly. One would get an interval-censored observation for a ...
  • Nonparametric and semiparametric methods for interval-censored failure time data 

    Zhu, Chao, 1979- (University of Missouri--Columbia, 2006)
    Interval-censored failure time data commonly arise in follow-up studies such as clinical trials and epidemiology studies. By interval-censored data, we mean that the failure time of interest is not completely observed. ...
  • Regression analysis of clustered interval-censored failure time data 

    Li, Junlong (University of Missouri--Columbia, 2012)
    Clustered failure time data occur when the failure times of interest are clustered into small groups, while interval censoring occurs when the event of interest cannot be observed directly and is only known to have occurred ...
  • Regression analysis of clustered interval-censored failure time data with informative cluster size 

    Zhang, Xinyan, 1976- (University of Missouri--Columbia, 2010)
    [ACCESS RESTRICTED TO THE UNIVERSITY OF MISSOURI AT REQUEST OF AUTHOR.] Correlated or clustered failure time data often occur in many research fields including epidemiological, geographical, sociological and medical studies. ...
  • Semi-parametric regression analysis of interval-censored failure time data 

    Ma, Ling, 1988- ([University of Missouri--Columbia], 2014)
    By interval-censored data, we mean that the failure time of interest is known only to lie within an interval instead of being observed exactly. Many clinical trials and longitudinal studies may generate interval-censored ...
  • Semiparametric analysis of multivariate longitudinal data 

    Zhu, Liang, 1981- (University of Missouri--Columbia, 2008)
    [ACCESS RESTRICTED TO THE UNIVERSITY OF MISSOURI AT REQUEST OF AUTHOR.] Longitudinal studies are conducted widely in fields such as agriculture and life sciences, business and industry, demography and other social sciences, ...
  • Semiparametric analysis of panel count data 

    He, Xin, 1981- (University of Missouri--Columbia, 2007)
    Panel count data often arise in long term studies that concern occurrence rates of certain recurrent events. In such studies, each subject is observed only at finite discrete time points instead of continuously, and only ...
  • Semiparametric and nonparametric methods for the analysis of panel count data 

    Li, Yang, 1983- (University of Missouri--Columbia, 2013)
    Panel count data are one type of event-history data concerning recurrent events. Ideally for an event-history study, subjects should be monitored continuously, so for the events that may happen recurrently over time, the ...
  • Semiparametric transformation models for panel count data 

    Li, Ni (University of Missouri--Columbia, 2011)
    [ACCESS RESTRICTED TO THE UNIVERSITY OF MISSOURI AT REQUEST OF AUTHOR.] Panel count data arise in event history studies. It may not be feasible to monitor subjects continuously and recurrent events can be observed only at ...
  • Statistical analysis for survival data with missing information 

    Zhang, Bin, 1979- (University of Missouri--Columbia, 2009)
    As a branch of statistics, survival analysis, which is often referred to as "reliability theory" in engineering, has a long history. While in practical problems, some information might be missing. This dissertation discusses ...
  • Statistical analysis of failure time data with missing information 

    Chen, Ping, 1984- (University of Missouri--Columbia, 2009)
    Failure time data arise in many fields and can involve different types of censoring structures and missing information. We consider three cases: right-censored data with missing censoring indicators, clustered current ...
  • Statistical analysis of length-biased and right-censored data 

    Hu, Na (University of Missouri--Columbia, 2013)
    [ACCESS RESTRICTED TO THE UNIVERSITY OF MISSOURI AT AUTHOR'S REQUEST.] Biased sampling arises when the observations are not randomly selected from the target population. When the sampling probability is proportional to the ...
  • Statistical analysis of multivariate interval-censored failure time data 

    Wang, Lianming, 1977- (University of Missouri--Columbia, 2006)
    Interval-censored failure time data commonly arise in clinical trials and medical studies. In such studies, the failure time of interest is often not exactly observed, but known to fall within some interval. For multivariate ...
  • Statistical analysis of multivariate interval-censored failure time data 

    Chen, Man-Hua, 1973- (University of Missouri--Columbia, 2007)
    A voluminous literature on right-censored failure time data has been developed in the past 30 years. Due to advances in biomedical research, interval censoring has become increasingly common in medical follow-up studies. ...
  • Statistical image analysis of photoactivated localization microscopy 

    Qin, Peiwu, 1979- (University of Missouri--Columbia, 2013)
    [ACCESS RESTRICTED TO THE UNIVERSITY OF MISSOURI AT AUTHOR'S REQUEST.] Fluorescent microscopy is a traditional way of localizing the biological molecules in the living cells. However, the diffraction limit makes it difficult ...