The views expressed here are those of the individual authors and not necessarily those of the JSM sponsors, their officers, or their staff.
Online Program Home
Abstract Details
|
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*+
|
|
Companies:
|
|
|
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
|
|
Abstract:
|
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
|
The address information is for the authors that have a + after their name.
Authors who are presenting talks have a * after their name.
Back to the full JSM 2012 program
|
2012 JSM Online Program Home
For information, contact jsm@amstat.org or phone (888) 231-3473.
If you have questions about the Continuing Education program, please contact the Education Department.