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X-WR-CALDESC:Events for RIOT Science Club
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DTSTART:20190101T000000
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DTSTART;TZID=UTC:20191205T120000
DTEND;TZID=UTC:20191205T130000
DTSTAMP:20260405T185355
CREATED:20200425T125321Z
LAST-MODIFIED:20200425T125449Z
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SUMMARY:Exploring published research results without the data by Dr Nick Brown
DESCRIPTION:About the speaker \nDr Nick Brown was recently awarded his PhD at the University of Groningen\, Netherlands for his work investigating social claims from positive psychology. He is\, however\, better known as a ‘data thug’\, detecting anomalies in reported statistics along with Dr James Heathers (check out James’ awesome podcast\, Everything Hertz). Drs Brown and Heathers won the SIPS Mission Award for their work on SPRITE\, GRIM\, and their application in error detection in published research. Dr Brown also keeps a regular blog\, where he writes about his exploits in error detection and insightful commentaries on statistical analyses and their pitfalls.  \nAbout the talk  \nA goal of the open science movement is for almost every published empirical articles to be accompanied by the relevant data set and analysis code. However\, that outcome is not likely to be achieved in the immediate future (and it does not address the issue of data availability for older work). In the meantime\, researchers who wish to critically examine the numerical and statistical results of published articles often have difficulty obtaining the data on which the results are based. The original authors might fail to answer the sharing request or even explicitly refuse to share their data. Perhaps the data no longer exist at all (a fate that will\, of course\, befall the authors too one day). In this talk\, Dr Brown will describe a number of techniques that allow the curious reader to identify possible anomalies in reported statistics without having access to the data\, and show how these techniques have been applied to reveal some problems in influential research. Only a minimal level of statistical knowledge is assumed.
URL:https://riotscience.co.uk/tribe-events/157/
LOCATION:Institute of Psychiatry\, Psychology & Neuroscience (IoPPN)\, 16 De Crespigny Park\, London\, London\, SE5 8AF\, United Kingdom
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BEGIN:VEVENT
DTSTART;TZID=UTC:20191212T120000
DTEND;TZID=UTC:20191212T130000
DTSTAMP:20260405T185355
CREATED:20200425T143430Z
LAST-MODIFIED:20200425T143430Z
UID:200-1576152000-1576155600@riotscience.co.uk
SUMMARY:R Markdown: Make your computer do your work for you by Dr Ewan Carr
DESCRIPTION:About the speaker \nDr Ewan Carr joined King’s College London’s Department of Biostatistics and Health Informatics in 2017. Prior to this role\, Ewan was based in Epidemiology and Public Health Department at University College London. Ewan holds an MSc in Social Research Methods and Statistics and a PhD in Social Statistics from Cathie Marsh Institute for Social Research\, University of Manchester. His research interests are in applying novel statistical techniques to longitudinal and routine clinical datasets to better understand heterogeneous treatment effects and to unpick interactions between mental and physical health. Currently\, Ewan works on projects related to the Maudsley Biomedical Research Centre (BRC) theme of Bioinformatics and Statistics. This involves a wide range of analytical methods\, including latent variable techniques (CFA\, LCA)\, multilevel modelling\, time series SEM\, survival analysis\, and more recently\, machine learning and topological data analysis. He is a keen user of R and Python and has many years of experience with Mplus and Stata. Ewan has taught on a wide range of statistical techniques. At present\, he lectures on courses in R\, statistical programming\, statistical modelling\, research methods for multilevel data and support delivery of other modules within the department.  \nAbout the talk \nR Markdown is one of the most powerful software tools going. Word processing\, blogging\, powerpoint-style presentations\, conferences posters are just a handful of examples of what it can do. Unfortunate\, its power and versatility are matched by the calories needed to get to master it. An add-on to R Studio\, a workable overlay to R\, R Markdown runs on R coding language\, and so inherits many of the fiddly\, maddening\, incomprehensible characteristics of any coding language.
URL:https://riotscience.co.uk/tribe-events/r-markdown-make-your-computer-do-your-work-for-you-by-dr-ewan-carr/
LOCATION:Institute of Psychiatry\, Psychology & Neuroscience (IoPPN)\, 16 De Crespigny Park\, London\, London\, SE5 8AF\, United Kingdom
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