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Analysis of semiparametric regression models for the cumulative incidence functions under the two-phase sampling designs.
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...
Analysis of semiparametric regression models for the cumulative incidence functions under the two-phase sampling designs.
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...
Analysis of semiparametric regression models for the cumulative incidence functions under the two-phase sampling designs.
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...
Dynamic Modeling of Incomplete Event History Data
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...
Dynamic Modeling of Incomplete Event History Data
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...
Estimation of Semivarying Coefficient Models for Counting Processes with Applications
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...
Estimation of Semivarying Coefficient Models for Counting Processes with Applications
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...