Thread by @MaartenvSmeden

Was asked for personal favorite resources for improving methods and statistics skills. I promised to make it a thread, so here it is

1/n

I work in medical research, so that is going to be my focus here too. But I’d like to think the resources are relevant to a wider audience

This list should not be taken as a guide to become a statistician, nor is it a must-read list for all academics (obviously)

2/n

My personal view is that medical research would benefit from involving trained statisticians earlier and more frequently; not from everyone trying to become one

Here are some good arguments by @statsepi:
medium.com/@darren_dahly/…

And some more: medium.com/@darren_dahly/…

3/n

That said, it is certainly not bad to learn more about methods and stats than the basic (med) curriculum provides, especially if you are (or want to become) a (medical) researcher

As @jacalvache pointed out: collaborating with a statistician may always be an option

4/n

The obvious starting point is: here.

Yes, @Twitter has taught me a ton about methods and statistics. Follow the hashtags #epitwitter (@epi_twit) and #statstwitter (@statstwitbot). Even #econtwitter is good when they are not talking about linear probability models

5/n

Another worthwhile resource is @f2harrell’s Data Methods forum. Many interesting discussions going on there, but I seem to find myself back at this particular discussion about statistical myths started by @ADAlthousePhD:

discourse.datamethods.org/t/reference-co…

6/n

Also note this free online #bbrcourse run by @f2harrell (did not attend, but heard good things about it").

hbiostat.org/bbr/schedule.h…

7/n

The @bmj_latest statistics notes series is also an excellent resource for short and accessible articles: bmj.com/specialties/st…

Another gold mine: the “Research methods & reporting” articles
bmj.com/research/resea…

8/n

Talking about reporting: @EQUATORNetwork lists more than 400 relevant reporting guidelines (plz use them!). Many guidelines also come with so-called “Explanation and Elaboration” papers, which are insightful and full with interesting references

equator-network.org

9/n

There are also some excellent courses to follow. Too many to mention here, so just a few links here:
netherlands.cochrane.org/cursussen-en-w…
erasmussummerprogramme.nl/summer-program…
keele.ac.uk/pcsc/newsandev…

10/n

(Shameless plug) you can also enroll in our MSc epidemiology program @UniUtrecht (face to face and/or distance learning):
uu.nl/masters/en/epi…

11/n

Finally, there are some books I should mention

12/n

Statistical rethinking by @rlmcelreath is a good place to start, even if you are not planning on becoming a Bayesian

xcelab.net/rm/statistical…

13/n

If you want to know more about prediction modeling this selection is highly recommended (increasing technicality ->)

global.oup.com/academic/produ…
springer.com/gp/book/978303…
springer.com/gp/book/978144…
web.stanford.edu/~hastie/ElemSt… (free)

14/n

This book (available for free) also deserves recommendation if you are interested in the principles of advanced statistical modeling

link.springer.com/book/10.1007/9…

15/n

For learning more about randomized controlled trials, this is the place to be IMHO:

amazon.com/Statistical-Is…

16/n

This book provides a great introduction to epidemiology. With a discount code available in the linked tweet below

https://twitter.com/EpidByDesign/status/1192892228856737792?s=20

17/n

This is another key epidemiology book that should be mentioned.
amazon.com/Modern-Epidemi…

18/n

I'll probably think of more later, but this is it for now.

19/n

How could I forget about THE red book

20/n

https://twitter.com/samedwardsmd/status/1270423401006424064?s=21

https://twitter.com/samedwardsmd/status/1270423401006424064