In survival analysis, the lifetimes may be observed in some speci¯ed order, where the time to event Tk, cannot be observed until T1; :::; Tk¡1 have been observed. The present work proposes a joint model of two sequential times to events together with longitudinal information, extending the joint model of Wolfsohn and Tsiatis (1997) for one time to event and one longitudinal variable. We apply the model to the clinical trial called TIBET, in which an intermit- tent therapeutic strategy has been assigned to each patient. Of special clinical interest is the lifetime that a patient needs before restarting treatment given the progression of biological markers recorded during the followup period
In longitudinal studies, clinicians usually collect longitudinal biomarkers’ measurements over time ...
In longitudinal studies it is often of interest to investigate how a marker that is repeatedly measu...
In studying the progression of a disease and to better predict time to death (survival data), invest...
Abstract: In survival analysis, the lifetimes may be observed in some specified order, where the tim...
The present work proposes a joint model for two sequential times to events together with longitudina...
In longitudinal studies it is often of interest to measure the association between a longitudinal ma...
In longitudinal studies it is often of interest to measure the association between a longitudinal ma...
This paper formulates a class of models for the joint behaviour of a sequence of longitudinal measur...
In many longitudinal studies, the outcomes recorded on each subject include both a sequence of repea...
In many longitudinal studies, the outcomes recorded on each subject include both a sequence of repea...
Joint modeling of various longitudinal sequences has received quite a bit of attention in recent tim...
Joint modeling of various longitudinal sequences has received quite a bit of attention in recent tim...
• In longitudinal studies subjects are measured for one or more response variable, over time. Althou...
In longitudinal studies subjects are measured for one or more response variable, over time. Althoug...
In analytical studies of longitudinal and time-to-event data, measuring the relationship between lon...
In longitudinal studies, clinicians usually collect longitudinal biomarkers’ measurements over time ...
In longitudinal studies it is often of interest to investigate how a marker that is repeatedly measu...
In studying the progression of a disease and to better predict time to death (survival data), invest...
Abstract: In survival analysis, the lifetimes may be observed in some specified order, where the tim...
The present work proposes a joint model for two sequential times to events together with longitudina...
In longitudinal studies it is often of interest to measure the association between a longitudinal ma...
In longitudinal studies it is often of interest to measure the association between a longitudinal ma...
This paper formulates a class of models for the joint behaviour of a sequence of longitudinal measur...
In many longitudinal studies, the outcomes recorded on each subject include both a sequence of repea...
In many longitudinal studies, the outcomes recorded on each subject include both a sequence of repea...
Joint modeling of various longitudinal sequences has received quite a bit of attention in recent tim...
Joint modeling of various longitudinal sequences has received quite a bit of attention in recent tim...
• In longitudinal studies subjects are measured for one or more response variable, over time. Althou...
In longitudinal studies subjects are measured for one or more response variable, over time. Althoug...
In analytical studies of longitudinal and time-to-event data, measuring the relationship between lon...
In longitudinal studies, clinicians usually collect longitudinal biomarkers’ measurements over time ...
In longitudinal studies it is often of interest to investigate how a marker that is repeatedly measu...
In studying the progression of a disease and to better predict time to death (survival data), invest...