Medical research
Medical researchers keep data to the lab and record every change. Analyse randomized trials, size the next one, and keep study files private to the lab's members.
LabSpace for medical researchers
Analyse a randomized trial
Compare blood pressure at twelve weeks between arms with a t-test and a box plot, then adjust for baseline with a regression.
- Load the trial data
- Compare arms with a t-test
- Draw box plots by arm
- Adjust for baseline with a regression
Size the next trial
Compute the sample size needed to detect the effect you care about, at the power you need, before you recruit anyone.
- Set the expected difference and spread
- Solve for the sample size at 80% power
- Plot power against patients per arm
- Read the patients needed for 80% and 90%
Keep study files to the lab
Study files live in the lab's own space, visible to its members only, with every version kept and every upload in the audit log.
- Open the lab's files
- Upload a study file
- It stays private to the lab
- Every version is kept
The tools behind it
- Stats: Models, tables and graphs from commands or a do-file
- Notebooks: Power and sample size in Python before anyone is recruited
- Lab files: Files private to the lab, with access limited to its members
- Compliance: Audit log, retention and recorded emergency access