
Steph Riley
@stephril3y
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Post-doctoral Research Associate in Statistics at University of Manchester | she/her🏳️🌈🏴
Plymouth, England
Joined September 2020
RT @turinginst: 🚨 Published today: International AI Safety Report. We’re delighted to have contributed to the International AI Safety Repor….
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RT @gro_tsen: A mathematician enters a bar. The rest of the joke is left as an exercise to the interested reader.
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Interested in using causal inference methods in healthcare? Join us for a morning of full of causal inference!. 🚨Causality in Healthcare at Manchester.📅December 5th @ 10am.📍Online (in person fully booked). Further information and registration👇.
eventbrite.com
Join us for a morning of causal inference at the University of Manchester!
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RT @Stats_research: Graphical methods to illustrate the nature of the relation between a continuous variable and the outcome when using res….
journals.sagepub.com
Restricted cubic splines (RCS) allow analysts to model nonlinea...
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RT @angryfermion: it's not machine learning unless it's from the machine learning region of france. otherwise it's just sparkling linear al….
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RT @statsyss: Stephanie Riley (@stephril3y) from @PlymUni is describing her comparison of methods for externally validating the kidney dono….
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RT @yinghuiwei: We will be at @RSSAnnualConf next week; I will speak in the Professional Development session - funding applications; @step….
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RT @yinghuiwei: Come join our seminar for the @HDR_UK South-West! Our first seminar focuses on using big data from health records and featu….
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RT @jonaslindeloev: I've made this cheat sheet and I think it's important. Most stats 101 tests are simple linear models - including "non-p….
lindeloev.github.io
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RT @f2harrell: April fools or not this has a great list of reasons that p-values don’t give us what we need.
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