How Not to Fall for Bad Statistics - with Jennifer Rogers
Living is a risky business. If you believe the headlines, bacon is as deadly as smoking and fizzy drinks make children violent, but is that true?
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From causation and correlation, to relative and absolute risk, Jennifer Rogers explains how to figure out if the stats we are presented in newspapers are accurate.
Jennifer Rogers holds the position of Director of Statistical Consultancy Services at the University of Oxford having previously worked as a Post-Doctoral Research Fellow in the Department of Statistics funded by the National Institute of Health Research. She has a special interest in the development and application of novel statistical methodologies, particularly in medicine. Her main area of expertise is the analysis of recurrent events and her research has recently focused on developing and implementing appropriate methodology for the analysis of repeat hospitalisations in patients with heart failure but her research has many other applications in medicine such as epilepsy and cancer, but also in retail and engineering. She works alongside other statisticians, clinicians, computer scientists, industry experts and regulators.
This talk was filmed in the Ri on 11 March 2019.
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A very special thank you to our Patreon supporters who help make these videos happen, especially:
Dave Ostler, David Lindo, David Schick, Erik Shepherd, Greg Nagel, Ivan Korolev, Joe Godenzi, Julia Stone, Lasse T. Stendan, Lester Su, Osian Gwyn Williams, Paul Brown, Radu Tizu, Rebecca Pan, Robert Hillier, Robert Reinecke and Roger Baker.
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Видео How Not to Fall for Bad Statistics - with Jennifer Rogers канала The Royal Institution
Subscribe for regular science videos: http://bit.ly/RiSubscRibe
From causation and correlation, to relative and absolute risk, Jennifer Rogers explains how to figure out if the stats we are presented in newspapers are accurate.
Jennifer Rogers holds the position of Director of Statistical Consultancy Services at the University of Oxford having previously worked as a Post-Doctoral Research Fellow in the Department of Statistics funded by the National Institute of Health Research. She has a special interest in the development and application of novel statistical methodologies, particularly in medicine. Her main area of expertise is the analysis of recurrent events and her research has recently focused on developing and implementing appropriate methodology for the analysis of repeat hospitalisations in patients with heart failure but her research has many other applications in medicine such as epilepsy and cancer, but also in retail and engineering. She works alongside other statisticians, clinicians, computer scientists, industry experts and regulators.
This talk was filmed in the Ri on 11 March 2019.
---
A very special thank you to our Patreon supporters who help make these videos happen, especially:
Dave Ostler, David Lindo, David Schick, Erik Shepherd, Greg Nagel, Ivan Korolev, Joe Godenzi, Julia Stone, Lasse T. Stendan, Lester Su, Osian Gwyn Williams, Paul Brown, Radu Tizu, Rebecca Pan, Robert Hillier, Robert Reinecke and Roger Baker.
---
The Ri is on Patreon: https://www.patreon.com/TheRoyalInstitution
and Twitter: http://twitter.com/ri_science
and Facebook: http://www.facebook.com/royalinstitution
and Tumblr: http://ri-science.tumblr.com/
Our editorial policy: http://www.rigb.org/home/editorial-policy
Subscribe for the latest science videos: http://bit.ly/RiNewsletter
Product links on this page may be affiliate links which means it won't cost you any extra but we may earn a small commission if you decide to purchase through the link.
Видео How Not to Fall for Bad Statistics - with Jennifer Rogers канала The Royal Institution
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