Initially a blog of tips for data extraction in meta-analysis and now an online directory. Also tweets about examples of making statistics more accessible.
Looking forward to running the in-person Meta analysis course next month. Available as a stand-alone short course.
https://t.co/W21dHRSbDu
https://t.co/tuDYIyO6un
#metaanalysis#ebhm
Check out #dataextraction in #metaanalysis advice for updates on extracting summary time-to-event data
Updates are here:
https://t.co/hLrtZCeRhE
https://t.co/NpA31kcUnU
https://t.co/z5JuE1VcX3
Full directory is here:
https://t.co/axjvOPAzYZ
@CebmOxford
Hello. R has a steep learning curve, and I'm wondering about how to encourage students to learn R for carrying out statistical analysis.
What 3 words (or brief phrases) would you use to promote learning R ?
#LearningR
A very clear explanation of using the AIC when you are comparing different models to find the model with the best fit to the data.
How do I interpret the AIC https://t.co/w8jfQK9Zta via @Rbloggers
Excellent resource from @CochraneUK for 6th formers hoping to study medicine. Other resources to develop critical thinking in schools https://t.co/6BjAtkfKqc
Congratulations to Nicholas Nyaaba on developing this MSc dissertation into a publication
https://t.co/6OrauhIskR
Read his views about his MSc programme here
New #metaanalysis course for doctoral students in @OxPrimaryCare starting tomorrow.
Includes stuff from my blog. Blog posts are here: https://t.co/xZkL5YDejF
1/3 What do you mean?
I don't mean Justin Bieber’s 2015 hit. I’m talking about averages, incl the median and mean, but which mean do I mean?
Find out more here: https://t.co/A7UoonhvbB
Or summarising tips for combining and converting groups in #dataextraction for #metaanalysis (it’s about continuous outcomes data):
https://t.co/1pQ5wb7JCf
4/5
Alternatively, you can read one of my related articles, for example, summarising tips for extracting diagnostic accuracy data in #dataextraction for #metaanalysis:
https://t.co/rZZUwQza5P
2/5