SurvivalVolume: interactive volume threshold survival graphs

Author(s): Wakefield, MJ;
Details: Publication Year 2016-12,Volume 1,Issue #8,Page doi:10.21105/joss.00111
Journal Title: J Open Source Software
Publication Type: Journal Article
Abstract: Treatment studies of cancer frequently use tumour volume to measure response to therapy. Therapeutic response will be apparent at different time points during the experiment. Progressive disease (increasing volume), stable disease and regression (reduction in volume) under therapy are important measures of response in addition to the overall time to reach a defined maximum volume. Traditional methods of presenting this data involve 3 unconnected graphs: line graphs of each individual, average volume of each group with standard error of the mean, and a Kaplan-Meier graph of time to maximum volume. Survival volume is a python package to produce an integrated plot of these three representations of the same data, and to provide interaction with the plots of volume to enhance exploration of outliers and subgroups that are of interest clinically.
Publisher: JOSS
Research Division(s): Bioinformatics
Publisher's Version: https://doi.org/10.21105/joss.00111
Open Access at Publisher's Site: http://joss.theoj.org/papers/10.21105/joss.00111
Terms of Use/Rights Notice: Refer to copyright notice on published article.

Creation Date: 2017-05-26 02:39:22

Last Modified: 2017-05-26 03:03:44