Competing risks occur often in survival analysis. In present work, we study different ap- proaches to modeling competing risks data and use examples to illustrate the most impor- tant results. In the competing risks setting it is often of interest to calculate the cumulative incidence of a specific event. We first study non-parametric estimation and then present three approaches to regression modeling. We use simple numerical example to demonstrate the use of non-parametric methods and perform analysis of real data from Stanford Heart Transplant Program to illustrate and compare the chosen regression models
Evaluation of a therapeutic strategy is complex when the course of a disease is characterized by the...
Studies in cardiology often record the time to multiple disease events such as death, myocardial inf...
This paper extends the QUANTIN et al.'s (1996) Regression Survival Model for testing the proportiona...
Competing risks data usually arises in studies in which the failure of an individual may be classifi...
Competing risks data usually arises in studies in which the failure of an individual may be classifi...
Competing risks occur frequently in the analysis of survival data. A competing risk is an event whos...
Studies in cardiology often record the time to multiple disease events such as death, myocardial inf...
Studies in cardiology often record the time to multiple disease events such as death, myocardial inf...
While nonparametric methods have been well established for inference on competing risks data, parame...
Objective: Competing events are often ignored in epidemiological studies. Conventional methods for t...
Competing risk analysis refers to a special type of survival analysis that aims to correctly estimat...
Advisors: Sanjib Basu; Nader Ebrahimi.Committee members: Alan M. Polansky; Duchwan Ryu; Ananda Sen; ...
The thesis concerns regression models related to the competing risks setting in survival analysis an...
The probability of an event occurring or the proportion of patients experiencing an event, such as d...
Abstract: “Competing risk ” or “multiple cause ” survival data arise in medical, crim-inological, fi...
Evaluation of a therapeutic strategy is complex when the course of a disease is characterized by the...
Studies in cardiology often record the time to multiple disease events such as death, myocardial inf...
This paper extends the QUANTIN et al.'s (1996) Regression Survival Model for testing the proportiona...
Competing risks data usually arises in studies in which the failure of an individual may be classifi...
Competing risks data usually arises in studies in which the failure of an individual may be classifi...
Competing risks occur frequently in the analysis of survival data. A competing risk is an event whos...
Studies in cardiology often record the time to multiple disease events such as death, myocardial inf...
Studies in cardiology often record the time to multiple disease events such as death, myocardial inf...
While nonparametric methods have been well established for inference on competing risks data, parame...
Objective: Competing events are often ignored in epidemiological studies. Conventional methods for t...
Competing risk analysis refers to a special type of survival analysis that aims to correctly estimat...
Advisors: Sanjib Basu; Nader Ebrahimi.Committee members: Alan M. Polansky; Duchwan Ryu; Ananda Sen; ...
The thesis concerns regression models related to the competing risks setting in survival analysis an...
The probability of an event occurring or the proportion of patients experiencing an event, such as d...
Abstract: “Competing risk ” or “multiple cause ” survival data arise in medical, crim-inological, fi...
Evaluation of a therapeutic strategy is complex when the course of a disease is characterized by the...
Studies in cardiology often record the time to multiple disease events such as death, myocardial inf...
This paper extends the QUANTIN et al.'s (1996) Regression Survival Model for testing the proportiona...