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DTSTART;TZID=UTC:20201001T120000
DTEND;TZID=UTC:20201001T130000
DTSTAMP:20260404T094158
CREATED:20200920T095432Z
LAST-MODIFIED:20201013T132202Z
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SUMMARY:Why p-values can't tell you what you need to know and what to do about it by Prof David Colquhoun
DESCRIPTION:About the speaker \nProfessor David Colquhoun is a pharmacologist notable for his insights into the biophysics of drug–receptor interactions of single ion channels. He was elected a Fellow of the Royal Society (FRS) in 1985\, was awarded the Humboldt Prize in 1990 and made Honorary Fellow of UCL in 2004. Colquhoun joined the Pharmacology Department at UCL in 1964\, and\, apart from 9 years\, has remained there ever since. He can be found on twitter (@david_colquhoun) and via his website DC’s Improbable Science\, where he writes critically about pseudoscience and alternative medicine. \nAbout the talk \nIt is a truth universally acknowledged that the literature has too many false positives. One reason\, among many\, for this is misunderstanding of p-values. There are three main reasons why a p-value can’t tell you much about whether a hypothesis is true or not. It transposes the conditional\, It has the wrong denominator. It takes into account values that have not been observed.  These will be explained\, and suggestions made about possible solutions.
URL:https://riotscience.co.uk/tribe-events/why-p-values-cant-tell-you-what-you-need-to-know-and-what-to-do-about-it-by-prof-david-colquhoun/
LOCATION:MS Teams
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BEGIN:VEVENT
DTSTART;TZID=UTC:20201008T140000
DTEND;TZID=UTC:20201008T150000
DTSTAMP:20260404T094158
CREATED:20200924T123618Z
LAST-MODIFIED:20201013T132114Z
UID:675-1602165600-1602169200@riotscience.co.uk
SUMMARY:Five selfish reasons to work reproducibly by Dr Florian Markowetz
DESCRIPTION:About the speaker \nFlorian Markowetz is a Senior Group Leader at the Cancer Research UK Cambridge Institute. He is a Royal Society Wolfson Research Merit Award holder and received a CRUK Future Leader in Cancer Research prize. He holds degrees in Mathematics (Dipl. math.) and Philosophy (M.A.) from the University of Heidelberg and a Dr. rer. nat. (PhD equivalent) in Computational Biology from Free University Berlin\, for which he was awarded an Otto-Hahn Medal by the Max Planck Society. His group at the CRUK Cambridge Institute combines computational work on cancer evolution and image analysis of the tumour tissue with experimental work on understanding key cancer mechanisms like the estrogen receptor. \nAbout the talk \nAnd so\, my fellow scientists: ask not what you can do for reproducibility; ask what reproducibility can do for you! In my talk\, I will present five reasons why working reproducibly pays off in the long run and is in the self-interest of every ambitious\, career-oriented scientist.
URL:https://riotscience.co.uk/tribe-events/five-selfish-reasons-to-work-reproducibly-by-dr-florian-markowetz/
LOCATION:MS Teams
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BEGIN:VEVENT
DTSTART;TZID=UTC:20201015T120000
DTEND;TZID=UTC:20201015T130000
DTSTAMP:20260404T094158
CREATED:20200930T145448Z
LAST-MODIFIED:20201020T093028Z
UID:682-1602763200-1602766800@riotscience.co.uk
SUMMARY:Easing into open science: A guide for graduate students and their advisors by Dr Priya Silverstein
DESCRIPTION:About the speaker \nDr Priya Silverstein is a postdoctoral researcher in the CoGDeV Lab at the University of Surrey\, studying the relationship between Lego construction ability\, spatial thinking\, and numeracy achievement in children. She is passionate about methods for studying development\, and how we can do better\, more transparent\, reproducible\, and diverse science. \nAbout the talk \nThis talk provides a roadmap for engaging in open science practices\, suggesting eight open science practices that novices could begin adopting today. The topics that will be covered include journal clubs\, project workflow\, preprints\, reproducible code\, data sharing\, transparent writing\, preregistration\, and registered reports. To address concerns about not knowing how to engage in open science practices\, we provide a difficulty rating of each behaviour (easy\, medium\, difficult)\, present them in order of suggested adoption\, and follow the format of what\, why\, how\, and worries. We emphasise that engaging in open science behaviours need not be an all or nothing approach and that you can engage with any number of the behaviours outlined. We also discuss the specific benefits of engaging with these practices now\, at a time when a lot of our research has been disrupted. \n 
URL:https://riotscience.co.uk/tribe-events/easing-into-open-science-by-dr-priya-silverstein/
LOCATION:MS Teams
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BEGIN:VEVENT
DTSTART;TZID=Europe/London:20201022T120000
DTEND;TZID=Europe/London:20201022T130000
DTSTAMP:20260404T094158
CREATED:20201002T165125Z
LAST-MODIFIED:20201026T125526Z
UID:691-1603368000-1603371600@riotscience.co.uk
SUMMARY:A walk in the garden of forking paths by Dr Julia Rohrer
DESCRIPTION:About the speaker \nI am a personality psychologist by training and my work covers a broad range of topics\, including the effects of birth order\, age patterns in personality\, and the correlates and determinants of subjective well-being. My methodological interests include causal inference on the basis of observational data and data analytic flexibility. I am an active advocate for increased research transparency and have frequently given talks on the topic.\nI recently finished my doctoral degree as a fellow of the International Max Planck Research School on the Life Course and am now a lecturer (Akademische Assistentin) at the Department of Psychology\, University of Leipzig. \nTogether with Anne Scheel\, Malte Elson\, and Ruben Arslan\, I blog at The 100% CI. If you want to get in touch with me\, I’m fairly active on Twitter. \nTo learn more\, go to https://juliarohrer.com/. \nAbout the talk \nData analysis requires researchers to make many decisions — and sometimes\, they may not know which choices are most appropriate. In this talk\, I will give an overview of ways to tackle researcher degrees of freedom in a transparent manner (such as robustness checks\, multiverse and specification curve analyses)\, highlight their commonalities\, and discuss some crucial concerns.
URL:https://riotscience.co.uk/tribe-events/a-walk-in-the-garden-of-forking-paths-by-dr-julia-rohrer/
LOCATION:MS Teams
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BEGIN:VEVENT
DTSTART;TZID=Europe/London:20201029T140000
DTEND;TZID=Europe/London:20201029T150000
DTSTAMP:20260404T094158
CREATED:20201019T095349Z
LAST-MODIFIED:20201104T171123Z
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SUMMARY:Theory building and testing in psychological research by Dr Eiko Fried
DESCRIPTION:About the speaker \nDr Eiko Fried is an Assistant Professor in clinical psychology at Leiden University working in the fields of clinical psychology\, psychiatry\, epidemiology and methodology. His main focus is on studying individual symptoms of mental disorders and their causal relations. Broader\, his interests include measurement (how to best assess whether someone is ill)\, modelling (what statistical models are most appropriate to model psychopathology)\, ontology (what are mental disorders) and nosology (how do we best classify them). \nAbout the talk \nThe last decade has brought reforms to improve methodological practices\, with the goal to increase the reliability and replicability of effects. However\, explanations of effects remain scarce\, and a growing chorus of scholars argues that the replicability crisis has distracted from a crisis of theory. In the same decade\, the empirical literature using factor and network models has grown rapidly. In this talk\, I discuss three ways in which this literature falls short of theory building and testing. First\, statistical and theoretical models are conflated\, leading to invalid inferences such as the existence of psychological constructs based on factor models\, or recommendations for clinical interventions based on network models. I demonstrate this inferential gap in a simulation study on statistical equivalence: excellent model fit does little to corroborate a theory\, regardless of quality or quantity of data. Second\, researchers fail to explicate theories about psychological constructs\, but use implicit causal beliefs to guide inferences. These latent theories have led to problematic best practices in psychological research where inferences are drawn based on one specific causal model that is assumed\, but not explicated. Third\, explicated theories are often weak theories: narrative and imprecise descriptions vulnerable to hidden assumptions and unknowns. They fail to make clear predictions\, and it remains unclear whether statistical effects corroborate such theories or not. Weak theories are immune to refutation or revision. I argue that these three challenges to theory building and testing are common and harmful\, and impede theory formation\, failure\, and reform. A renewed focus on theoretical psychology and formal models offers a way forward. \nRelated preprint: https://psyarxiv.com/zg84s/
URL:https://riotscience.co.uk/tribe-events/theory-building-and-testing-in-psychological-research-by-dr-eiko-fried/
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