In recent time I've been asked for pointers on analysing complex healthcare data. This is a difficult issue. Healthcare analytics / health informatics / medical informatics / etc. range over a wide area, driven a wide variety of interests and outcomes, overlapping hugely in some areas and not at all in others. The …
While mentoring some juniors, I started to think about the rules of thumb for analysing data that I've built up over the years. While I'm certainly not the world's greatest data scientist (or it's greatest bioinformatician, statistician, biomedical scientist, etc.), it seems worthwhile trying to capture them here. these are …
Last updated 2020/4/4. Originally published on LinkedIn
I won't be updating this list further as the intention was to point people to the right places to help in a crisis.
Should you have an potentially useful information set or data source, the best course of action is you …
At the 2018 Festival of Genomics London, I'll be chairing a panel on the integration of biomedical data. Get along, the festival is free and fun:
http://www.festivalofgenomicslondon.com
My co-panellists will be:
Possible topics include:
Refer back to the previous article for the background and some introduction to REDCap.
Note
These notes are based upon REDCap version 6.4.4. Different versions may have fixed or adjusted some of this behaviour.
To add a user, you need an email address to send a …
Some years ago I wrote a popular piece Words a bioinformatician doesn't want to hear. Sadly, a lot of practitioners found it all too real. This time, I'm concentrating on the data end of things.
"We really need a database / webapp, so I can query / analyse / visualise this data!"
[database …
For those not in the know, REDCap is a platform for creating and editing databases through the web. And by and large, it works fine. It saves a lot of development effort. It provides good reporting tools for users. It's secure and robust. But there are some things to be …
You have a bunch of related CSV files.
Maybe they're the result of a raw database dump. Maybe they've been generated in some other way: experimental results, various public data sets, whatever. But the important thing is that you need to make a database from them. Perhaps because …
Prompted by a recent tweet asking what people used for storing and managing their data, I wrote down my own hard-won lessons on the topic. In rough order of preference and data complexity:
Or markdown / asciidoc. The advantages of this being: