Modeling event count data in the presence of informative dropout with application to bleeding and transfusion events in myelodysplastic syndrome.
Sign Up to like & getrecommendations! Published in 2017 at "Statistics in medicine"
DOI: 10.1002/sim.7351
Abstract: In many biomedical studies, it is often of interest to model event count data over the study period. For some patients, we may not follow up them for the entire study period owing to informative… read more here.
Keywords: count data; informative dropout; event count; dropout ... See more keywords
Bayesian modeling for overdispersed event-count time series
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DOI: 10.1007/s41237-019-00093-5
Abstract: Social scientists are frequently interested in event-count time-series data. One of the state-of-the-art methods, the Poisson exponentially weighted moving average (P-EWMA) model, leads to incorrect inference in the presence of omitted variables even if they… read more here.
Keywords: count; event count; time series; count time ... See more keywords