Search results | J. Murrey Atkins Library

Title: Analysis of failure time data with missing and informative auxiliary covariates.
Author: Ghosh, Lipika
Date Created: 2011
Description: In this dissertation we use Cox's regression model to failure time data with continuous informative auxiliary variables in the presence of a validation subsample. The work is motivated by a common problem of missing or mismeasured covariates in su...

Title: Analysis of failure time data with missing and informative auxiliary covariates.
Author: Ghosh, Lipika
Date Created: 2011
Description: In this dissertation we use Cox's regression model to failure time data with continuous informative auxiliary variables in the presence of a validation subsample. The work is motivated by a common problem of missing or mismeasured covariates in su...

Title: Analysis of failure time data with missing and informative auxiliary covariates.
Author: Ghosh, Lipika
Date Created: 2011
Subjects--Topical: Statistics, Mathematics, Biometry
Description: In this dissertation we use Cox's regression model to failure time data with continuous informative auxiliary variables in the presence of a validation subsample. The work is motivated by a common problem of missing or mismeasured covariates in su...

Title: Analysis of semiparametric regression models for the cumulative incidence functions under the two-phase sampling designs.
Author: Lee, Unkyung
Date Created: 2016
Description: Competing risks often arise where more than one event compete with each other for a subject. The cumulative incidence function is a proper summary quantity for analyzing competing risks data. In epidemiologic cohort studies, case-cohort study desi...

Title: Analysis of semiparametric regression models for the cumulative incidence functions under the two-phase sampling designs.
Author: Lee, Unkyung
Date Created: 2016
Description: Competing risks often arise where more than one event compete with each other for a subject. The cumulative incidence function is a proper summary quantity for analyzing competing risks data. In epidemiologic cohort studies, case-cohort study desi...

Title: Analysis of semiparametric regression models for the cumulative incidence functions under the two-phase sampling designs.
Author: Lee, Unkyung
Date Created: 2016
Subjects--Topical: Statistics, Mathematics
Description: Competing risks often arise where more than one event compete with each other for a subject. The cumulative incidence function is a proper summary quantity for analyzing competing risks data. In epidemiologic cohort studies, case-cohort study desi...

Title: Distance Based Linear Regression Model And Its Application To Microbiome Association Studies
Author: Sheikhi Kiasari, Masoumeh
Date Created: 2021
Subjects--Topical: Mathematics, Statistics
Description: In the past few decades, pairwise distance based statistical methods have beendeveloped to identify spatial and/or temporal clusters of disease, study the association between the dissimilarity of ecological communities and distance in geographical...

Title: Dynamic Modeling of Incomplete Event History Data
Author: Heng, Fei
Date Created: 2019
Description: Event history analysis has important applications in many fields, such as medicine, engineering, econometrics, actuarial science, and social studies. We usually encounter missing data problems in the modeling of event history data. One typical pro...

Title: Dynamic Modeling of Incomplete Event History Data
Author: Heng, Fei
Date Created: 2019
Subjects--Topical: Statistics
Description: Event history analysis has important applications in many fields, such as medicine, engineering, econometrics, actuarial science, and social studies. We usually encounter missing data problems in the modeling of event history data. One typical pro...

Title: Estimation of Semivarying Coefficient Models for Counting Processes with Applications
Author: Deng, Liqiu
Date Created: 2019
Description: Recurrent events are very common in many different fields, including biological, medical, engineering and finance. Existing research have developed methodologies to model constant covariate effects and time-dependent covariate effects. However, in...

Title: Estimation of Semivarying Coefficient Models for Counting Processes with Applications
Author: Deng, Liqiu
Date Created: 2019
Subjects--Topical: Mathematics
Description: Recurrent events are very common in many different fields, including biological, medical, engineering and finance. Existing research have developed methodologies to model constant covariate effects and time-dependent covariate effects. However, in...

Title: Generalized semiparametric varying-coefficient models for longitudinal data
Author: Qi, Li
Date Created: 2015
Description: In this dissertation, we investigate the generalized semiparametric varying-coefficient models for longitudinal data that can flexibly model three types of covariate effects: time-constant effects, time-varying effects, and covariate-varying effec...

Title: Generalized semiparametric varying-coefficient models for longitudinal data
Author: Qi, Li
Date Created: 2015
Description: In this dissertation, we investigate the generalized semiparametric varying-coefficient models for longitudinal data that can flexibly model three types of covariate effects: time-constant effects, time-varying effects, and covariate-varying effec...

Title: Generalized semiparametric varying-coefficient models for longitudinal data
Author: Qi, Li
Date Created: 2015
Subjects--Topical: Mathematics, Statistics, Biometry
Description: In this dissertation, we investigate the generalized semiparametric varying-coefficient models for longitudinal data that can flexibly model three types of covariate effects: time-constant effects, time-varying effects, and covariate-varying effec...

Title: Improving Semiparametric Estimation of Longitudinal Data with Covariance Function
Author: Fang, Fang
Date Created: 2018
Description: In this dissertation, we aim to improve efficiency of estimation in longitudinal data under generalized semi-parametric varying-coefficient models.First, we investigate a profile weighted least square approach for model estimation by utilizing wit...

Title: Improving Semiparametric Estimation of Longitudinal Data with Covariance Function
Author: Fang, Fang
Date Created: 2018
Subjects--Topical: Mathematics, Statistics, Biometry
Description: In this dissertation, we aim to improve efficiency of estimation in longitudinal data under generalized semi-parametric varying-coefficient models.First, we investigate a profile weighted least square approach for model estimation by utilizing wit...

Title: STATISTICAL ANALYSIS OF MARK-SPECIFIC PROPORTIONAL HAZARDS MODEL
Author: Li, Mei
Date Created: 2011
Description: Competing risks occur frequently in survival analysis, and in some cases, the competingrisks are not discrete. In this dissertation, we develop some statistical inferences to analyzecontinuous competing risks.In Chapter 2, inspired by the HIV vacc...

Title: STATISTICAL ANALYSIS OF MARK-SPECIFIC PROPORTIONAL HAZARDS MODEL
Author: Li, Mei
Date Created: 2011
Description: Competing risks occur frequently in survival analysis, and in some cases, the competingrisks are not discrete. In this dissertation, we develop some statistical inferences to analyzecontinuous competing risks.In Chapter 2, inspired by the HIV vacc...

Title: STATISTICAL ANALYSIS OF MARK-SPECIFIC PROPORTIONAL HAZARDS MODEL
Author: Li, Mei
Date Created: 2011
Subjects--Topical: Statistics
Description: Competing risks occur frequently in survival analysis, and in some cases, the competingrisks are not discrete. In this dissertation, we develop some statistical inferences to analyzecontinuous competing risks.In Chapter 2, inspired by the HIV vacc...

Title: Semiparametric Additive Hazards Models with Missing Covariates
Author: Subedi, Pramesh
Date Created: 2021
Description: The case-cohort study design was originally proposed by Prentice (1986). Under this design,a random sub-cohort of individuals is selected from the cohort of study. Full covariate data are collected from all the cases in the cohort and the sub-coho...