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Activity Number: 354
Type: Contributed
Date/Time: Tuesday, July 31, 2012 : 10:30 AM to 12:20 PM
Sponsor: Section on Statistical Computing
Abstract - #304547
Title: The tvtools Package for R
Author(s): David Shilane*+
Address: 59A Woodward St, San Francisco, CA, 94103, United States
Keywords: statistical computing ; time-varying data ; data visualization ; R programming ; electronic medical records ; longitudinal data

For statistical studies, longitudinal records may be compiled into long-form time-varying databases (panel data). The temporal component of time-varying data adds complexity to even basic descriptive analyses. I created the tvtools package for R to simplify the analysis of time-varying data.

Basic statistics (e.g. the mean number of heart attacks per person-year of follow-up) may be displayed by treatment cateogry and time period. Exposure rates may be summarized over time intervals. Missing data rates may be plotted over time. Methods are available to compute the date of first treatment or event.

The tvtools package also provides a method for visualizing a patient's entire medical history. This includes an indication of when patients are on and off particular treatments, markers for procedures, and the occurrence of events. Visualizing a patient's medical history allowed my research g

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