Starting now! Our first speaker is @I_M_Stratton, reflecting on her passion for peer reviewing for clinical journals and the inspiration for this session
Next, our #Medical section chair @MonaKanaan3 sharing some real peer review comments she has received. How dare she use so many complicated statistics?! 🤯
Second #Medical section speaker @CateyBunce on why to review for clinical journals
- learning more about the field
- keeping up to date with methods
- using good statistical practice
Tips from @CateyBunce for reviewing
- communicate the type of error and the clinical impact of the error
- use general or subject specific materials available, such as: bmj.com/specialties/st…
Third #Medical Section member @sjn_16, also one why to review
- training and personal development
- builds communication skills
- get an early look at new research
- spread the workload among statisticians
Tips from @sjn_16 on not being the dreaded #Reviewer2
- Be constructive, clear and nice
- Communicate the impact of the errors
- Suggest solutions
- Is it really an error, or just not how you would have done it?
Credit to @tmorris_mrc for the last two photos as @sjn_16 is doing these tweets!
The last speaker is Richard Stevens @ebhcmedstats giving an extended talk on peer reviewing papers using propensity scores
Peer reviewing, particularly propensity scores, is often about solving a problem you didn't know you had
There are a number of pitfalls to be aware of!
There are some common problems to look for every time, and some guidelines on what to look for in a results paper
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Attending #RSS2021Conf this afternoon? @RSSAnnualConf
Check out our invited session with @RSS_IDS@ISEG_LSHTM on addressing statistical and epidemiological issues in global heath.
Auditorium and livestreamed online
The first speaker is Emily Webb, speaking about @ISEG_LSHTM and recent work of the group
Work of @ISEG_LSHTM also involves capacity building at research institutes in lower middle income countries and there will be a 50th anniversary symposium next year celebrating the next generation of statisticians and epidemiologists in global research! 🥳
First speaker is @AyisSalma, reflecting on the subtle but important difference of what we think and what data are. #COVID19 statistics are easily misinterpreted
Statistical anomalies in calculations of #COVID19 infections and deaths meant it appeared that no-one ever recovered!
And these figures influenced government #publichealth decisions