Presenting and Analyzing Hospitalization Data
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*Elizabeth G Galle, Boston Scientific CRM 

Keywords: hospitalization, recurrent, predictors

The presentation and analysis of recurrent events is becoming a more frequent occurrence in longitudinal studies. Descriptive tools and analysis techniques for this type of data is limited, particularly in situations where differential follow-up exists, there is a competing risk present (e.g. death), multiple event per patient are possible, and there is a desire to adjust for covariates. A case study is presented to describe the benefits and limitations of different techniques used in writing a manuscript of hospitalization data collected during a longitudinal clinical trial.