Retrospective analysis

Calculations shown here use data from patients diagnosed with DIPG between 2000-2013, with follow-up until 2014. Follow-up time of the patients in this database is a bit longer than that from the original data used to design VALKYRIE project, hence there are some numerical differences. This post illustrate how to present clinical research data in a transparent and fully reproducible way to an audience. Including individual patient data (de-identified) as well as the _script_ used to perform statistical analysis of data, this is an example of the possibilities of _open lab notebook_ and _open science_ paradigm. When the prospective trial data are collected, they will be equally published in the same format, becoming permanently available to analysis and criticism by interested third parties. I discussed the inspiration to this approach in this post in a personal blog.(excerpt)