Despite the development and adoption of time-to-event/survival analysis techniques in the research fields of management and organizational behavior, the adoption of more advanced survival techniques is lagging behind. Some subjects might never experience the event-of-interest, however long they are followed-up, which has broadly been neglected in our fields. In our field, this study is the first to introduce the mixture cure model and its multilevel generalization. More specifically, we introduce a multilevel mixture cure model with correlated random effects. Using a large simulation study to test the accuracy of parameter estimates and the reliability of statistical inference clearly demonstrates the analytical and empirical superiority of...
Many medical studies yield data on recurrent clinical events from populations which consist of a pro...
PURPOSE: Standard survival models are often used in a medication persistence analysis. These methods...
Due to more strict regulations as a result of the Basel accords, survival analysis is becoming more ...
The mixture cure model is a developed statistical survival model. It assumes that the studied popula...
Extending standard survival analysis techniques, multiple event mixture cure models are used in orde...
In this thesis, we aim to develop, implement and explain more novel and more complex analytical tool...
In medicine and public health researches, survival cure models are widely used to analyse time-to-ev...
Analysis of the survival data with a subgroup of cured subjects arising in a clinical trial is commo...
In survival analysis, the survival time is assumed to follow a non-negative distribution, such as th...
Modern medical treatments have substantially improved cure rates for many chronic diseases and have ...
Cure rate models are survival models consisting of a cured fraction and an uncured fraction. These m...
International audienceCure models have been developed to analyze failure time data with a cured frac...
Traditional survival analysis was developed to investigate the occurrence and timing of a single eve...
Cure models have been developed to analyze failure time data with a cured fraction. For such data, s...
Cure models are a special type of survival analysis model where it is assumed that there are a propo...
Many medical studies yield data on recurrent clinical events from populations which consist of a pro...
PURPOSE: Standard survival models are often used in a medication persistence analysis. These methods...
Due to more strict regulations as a result of the Basel accords, survival analysis is becoming more ...
The mixture cure model is a developed statistical survival model. It assumes that the studied popula...
Extending standard survival analysis techniques, multiple event mixture cure models are used in orde...
In this thesis, we aim to develop, implement and explain more novel and more complex analytical tool...
In medicine and public health researches, survival cure models are widely used to analyse time-to-ev...
Analysis of the survival data with a subgroup of cured subjects arising in a clinical trial is commo...
In survival analysis, the survival time is assumed to follow a non-negative distribution, such as th...
Modern medical treatments have substantially improved cure rates for many chronic diseases and have ...
Cure rate models are survival models consisting of a cured fraction and an uncured fraction. These m...
International audienceCure models have been developed to analyze failure time data with a cured frac...
Traditional survival analysis was developed to investigate the occurrence and timing of a single eve...
Cure models have been developed to analyze failure time data with a cured fraction. For such data, s...
Cure models are a special type of survival analysis model where it is assumed that there are a propo...
Many medical studies yield data on recurrent clinical events from populations which consist of a pro...
PURPOSE: Standard survival models are often used in a medication persistence analysis. These methods...
Due to more strict regulations as a result of the Basel accords, survival analysis is becoming more ...