Conveners
INVITED ISBIS: Methodologies and Applications in Joint Models for Longitudinal and Survival Data
- Daniel Jeske (University of California, Riverside)
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Esra Kurum (University of California, Riverside)12/09/2023, 14:45
Over 782,000 individuals in the U.S. have end-stage kidney disease with about 72% of patients on dialysis, a life-sustaining treatment. Dialysis patients experience high mortality and frequent hospitalizations, at about twice per year. These poor outcomes are exacerbated at key time periods, such as the fragile period after the transition to dialysis. In order to study the time-varying effects...
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Prof. Ruwanthi Kolamunnage-Dona12/09/2023, 15:15Biostatistics
Joint modelling is a modern statistical method that has the potential to reduce biases and uncertainties due to informative participant follow-up in longitudinal studies. Although longitudinal study designs are widely used in medical research, they are often analysed by simple statistical methods, which do not fully exploit the information in the resulting data. In observational studies,...
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Eleni-Rosalina Andrinopoulou12/09/2023, 15:45Biostatistics
Studies in life course epidemiology involve different outcomes and exposures being collected on individuals who are followed over time. These include longitudinally measured responses and the time until an event of interest occurs. These outcomes are usually separately analysed, although studying their association while including key exposures may be interesting. It is desirable to employ...
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