|P.Mean: Analyzing bad data (created 2009-05-22).|
A discussion on the MEDSTATS email discussion group centered around a data set involving blood loss. Blood loss was quantified into categories with values of
- less than 250 ml,
- 250-500 ml,
- 500-1000 ml, and
- great than 1000 ml.
The discussion centered on the inefficiencies created when continuous data is reported in categories like these. While this was appropriate, some of the language was a bit harsh, with one person suggesting that we should just "walk away" if a client insists on collecting data like this. There is a potential ethical concern here, because the greater sample size created by the inefficient data collection scheme can put too many subjects at risk.
I pointed out, though, that often you "inherit" a study that was planned poorly. Rather than walking away, I would suggest analyzing the data as best you can and explaining the efficiencies that would accrue in future studies. I'd mention that old saying about catching flies with honey and not vinegar, but most of my clients would not like being compared to flies.
This work is licensed under a Creative Commons Attribution 3.0 United States License. This page was written by Steve Simon and was last modified on 2010-04-12. Need more information? I have a page with general help resources. You can also browse for pages similar to this one at Category: Human side of statistics.