Peer Reviewedhttps://deepblue.lib.umich.edu/bitstream/2027.42/144622/1/biom12761.pdfhttps://deepblue.lib.umich.edu/bitstream/2027.42/144622/2/biom12761_am.pd
Background:Prognostic models for repeated events of the same type are highly useful in predicting wh...
In this dissertation we focus on two closely related topics: analyzing recurrent event data and medi...
Abstract A prognostic model to determine an association between survival outcomes and clinical risk ...
Background. Longitudinal studies usually evaluate risk by modelling time to first event using standa...
Profiling analysis aims to evaluate health care providers, such as hospitals, nursing homes, or dial...
For chronic dialysis patients, a unique population requiring continuous medical care, methodologies ...
In this article, we consider the setting where the event of interest can occur repeatedly for the sa...
Peer Reviewedhttp://deepblue.lib.umich.edu/bitstream/2027.42/89578/1/j.0006-341X.2004.00225.x.pd
Recurrent event data are widely encountered in clinical and observational studies. Most methods for ...
Peer Reviewedhttps://deepblue.lib.umich.edu/bitstream/2027.42/143592/1/sim7626_am.pdfhttps://deepblu...
In biomedical studies, the event of interest is often recurrent and within-subject events cannot usu...
In the first chapter of this work, we characterize the dynamics of cardiovascular event risk traject...
Summary. Large observational databases derived from disease registries and retrospective cohort stud...
International audienceBACKGROUND: Published algorithms for identifying chronic kidney disease in hea...
For chronic dialysis patients, a unique population requiring continuous medical care, hospitalizatio...
Background:Prognostic models for repeated events of the same type are highly useful in predicting wh...
In this dissertation we focus on two closely related topics: analyzing recurrent event data and medi...
Abstract A prognostic model to determine an association between survival outcomes and clinical risk ...
Background. Longitudinal studies usually evaluate risk by modelling time to first event using standa...
Profiling analysis aims to evaluate health care providers, such as hospitals, nursing homes, or dial...
For chronic dialysis patients, a unique population requiring continuous medical care, methodologies ...
In this article, we consider the setting where the event of interest can occur repeatedly for the sa...
Peer Reviewedhttp://deepblue.lib.umich.edu/bitstream/2027.42/89578/1/j.0006-341X.2004.00225.x.pd
Recurrent event data are widely encountered in clinical and observational studies. Most methods for ...
Peer Reviewedhttps://deepblue.lib.umich.edu/bitstream/2027.42/143592/1/sim7626_am.pdfhttps://deepblu...
In biomedical studies, the event of interest is often recurrent and within-subject events cannot usu...
In the first chapter of this work, we characterize the dynamics of cardiovascular event risk traject...
Summary. Large observational databases derived from disease registries and retrospective cohort stud...
International audienceBACKGROUND: Published algorithms for identifying chronic kidney disease in hea...
For chronic dialysis patients, a unique population requiring continuous medical care, hospitalizatio...
Background:Prognostic models for repeated events of the same type are highly useful in predicting wh...
In this dissertation we focus on two closely related topics: analyzing recurrent event data and medi...
Abstract A prognostic model to determine an association between survival outcomes and clinical risk ...
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