Exploratory method for summarizing concomitant medication data – the mean cumulative function
Article first published online: 10 AUG 2009
Copyright © 2009 John Wiley & Sons, Ltd.
Volume 9, Issue 4, pages 331–336, October/December 2010
How to Cite
Barker, C. (2010), Exploratory method for summarizing concomitant medication data – the mean cumulative function. Pharmaceut. Statist., 9: 331–336. doi: 10.1002/pst.395
- Issue published online: 22 DEC 2010
- Article first published online: 10 AUG 2009
- mean cumulative function;
- concomitant medications
Concomitant Medications are medications used by patients in a clinical trial, other than the investigational drug. These data are routinely collected in clinical trials. The data are usually collected in a longitudinal manner, for the duration of patients' participation in the trial. The routine summaries of this data are incidence-type, describing whether or not a medication was ever administered during the study. The longitudinal aspect of the data is essentially ignored. The aim of this article is to suggest exploratory methods for graphically displaying the longitudinal features of the data using a well-established estimator called the ‘mean cumulative function’. This estimator permits summary and a graphical display of the data, and preparation of some statistical tests to compare between groups. This estimator may also incorporate information on censoring of patient data. Copyright © 2009 John Wiley & Sons, Ltd.