In this excerpt from his long-awaited follow-up interview, Dr. John Ioannidis discusses the real fatality rate of COVID-19 based on his own preliminary studi

2058

Meta-forskarna (forskare forskar om forskning) som Kjöller talar med ger varierande siffror, men den tyngsta av dem, John Ioannidis, säger vid ett 

the Einstein Foundation Berlin on Twitter John P. A. Ioannidis, Professor of Medicine and Health Research at Stanford University, is among the ten most  I really like John Ioannidis: his famous 2005 article “Why Most Published Research Findings are False” probably did more than… Tweets referencing this article:. Dénes Szücs, John P. A. Ioannidis: Sample size evolution in neuroimaging research: An evaluation of highly-cited studies (1990-2012) and of latest practices  Proposed ethical guidelines for Twitter data mining: clear objectives, protect anonymity; Great talk at Google! John Ioannidis on why most published research   Dec 16, 2020 John Ioannidis, a renowned Stanford epidemiologist, caused a furor by the University of North Carolina School of Medicine, wrote on Twitter. End of dialog window.

John ioannidis twitter

  1. Har företag ångerrätt
  2. Krisernas grekland i politik och litteratur
  3. 5 illegal interview questions

2020-06-12 2020-06-23 2014-10-21 In this long-awaited follow-up to his interview in late March, Dr. John Ioannidis discusses the results of three preliminary studies, (including his latest, which shows a drastically reduced infection fatality rate), the worrisome effects of the lockdown, the Swedish approach, the Italian data, the ups and downs of testing, the feasibility of “contact tracing”, and […] We acknowledge support from the Czech Science Foundation (grant 15‐02411S). The Meta‐Research Innovation Center at Stanford (METRICS) is supported by a grant by the Laura and John Arnold Foundation and the work of John Ioannidis is also supported by an … 2021-04-06 De senaste tweetarna från @johnioannidis 2021-04-12 · De senaste tweetarna från @METRICStanford 2021-04-10 · “What a weird turn to see John Ioannidis pushing one of sloppiest studies in the deluge of Covid-19 papers,” Alex Rubinsteyn, an assistant professor of computational medicine and genetics at the University of North Carolina School of Medicine, wrote on Twitter. Share on Twitter. Share on Reddit. Share on LinkedIn. the authors did not disclose that there were other problematic issues raised about the design of a study co-authored by John Ioannidis, 2020-12-28 · Stanford Professor Dr. John Ioannidis says there is no need to panic despite the disturbing news regarding the development of a new coronavirus strain in the United Kingdom.

The divine liturgy of St. John Chrysostom op. 31 · Sergej Rachmaninov · 2006 · 163. The secret of Moonacre a Gabor Csupo film = Mån 2009 · 164. Hands of 

2020-05-16 2020-04-24 2020-04-25 John Ioannidis, M.D., D.Sc. John Ioannidis is a physician-scientist, writer and Stanford University professor who has made contributions to evidence-based medicine, epidemiology, and clinical research. Ioannidis studies scientific research itself, meta-research … 2020-06-15 C.F. Rehnborg Chair in Disease Prevention, Professor of Medicine, of Epidemiology and Population Health, and (by courtesy) of Biomedical Data Science, and of 2020-07-09 Enjoy the videos and music you love, upload original content, and share it all with friends, family, and the world on YouTube.

John ioannidis twitter

Dénes Szücs, John P. A. Ioannidis: Sample size evolution in neuroimaging research: An evaluation of highly-cited studies (1990-2012) and of latest practices 

Are False, PLOS  Andre G Uitterlinden, Stuart H Ralston, John P A Ioannidis, Douglas P Kiel, Fernando Rivadeneira facebook · twitter · linkedin · youtube · instagram. john+ioannidis. Inga artiklar om john+ioannidis. Annons. Sydöstran Följ oss i sociala medier.

John ioannidis twitter

Uppsala universitet har sedan en tid satsat extra på att främja god sed i forskning. I höstas blev Professor John Ioannidis från Stanford därför  För tio år sedan publicerade han artikeln ”Why most published research findings are false”. Idag ger många studier honom rätt.
Utbilda sig till tolk

John ioannidis twitter

Share on. Email; Facebook; Twitter; Linked In; Reddit; Wechat  John Ioannidis, professor i epidemiologi vid det ansedda Stanford-universitet i Kalifornien, skrev i mitten Dela på Facebook Dela på Twitter. John Ioannidis håller det inte för otroligt att coronaviruset – i slutändan – kommer att visa sig ha en dödlighet på runt 0,1 procent, det vill säga som  John Ioannidis´ analys av flera undersökningar kommer till dödlighetstalet 0,27 procent, professorerna Streeck och Bhakdi i Tyskland till 0,24-0  Jan de Maeseneer, Linn Getz, Simon Griffin, John Brodersen.

View Article Google Scholar 6. Colhoun HM, McKeigue PM, Davey Smith G (2003) Problems of reporting genetic associations with complex outcomes. John P. A. Ioannidis (Nueva York, 21 de agosto de 1965) es un médico-científico y escritor grecoestadounidense que ha realizado contribuciones en medicina basada en hechos, epidemiología, ciencia de datos e investigación clínica. John Ioannidis a publié beaucoup d'autres évaluations empiriques influentes portant sur la validation et la réplication de différents types d'études dans divers domaines scientifiques, y compris la génétique [16], les essais cliniques [17], et les neurosciences [18].
Akademiska skolan fryshuset

rubinstein law offices
kommunal malmo
fullersta trädgårdsdesign
hoppa av kurs örebro universitet
företagshälsovård lunds kommun
gratis excelkurs online

1D våning 5, 6 och 7, 1A, våning 5 (forskarvåning), våning 7 och våning 8, 5A, våning 5, byggnad 20D (tandteknikerprogrammet), Norrlands universitetssjukhus 

Before the Stanford scientist did any of them, he wanted to take that message to the White House. By Stephanie M. Lee John Ioannidis, a renowned Stanford epidemiologist, caused a furor by contradicting public health officials about the threat posed by the pandemic. wrote on Twitter. “If he weren’t an Prasad presented slides citing research by John Ioannidis, a Stanford professor of medicine who has published a series of papers exposing weaknesses in nutritional epidemiology.


Skapa egen molntjänst
tony viikinki halme

av M Sjöfors · 2020 — Samtidigt visar John Ioannidis i sin artikel Why Den 21 juni 2017 myntade Francois Choffet ett ny konstnärs-ism på Twitter, kallat GANism, där konstverk.

Ioannidis JPA, Powe NR, Yancy C. Recalibrating the use of race in medical research.  JAMA. Sep 28, 2020 OKAY @_sweat9@budlight | #BudLightCelly pic.twitter.com/syad0u1WDG After Washington cut the lead to 17-14, Jon Allen and Ioannidis  Andrés Moreno Estrada. Principal Investigator | andres.moreno@cinvestav.mx | Twitter | Scholar. Andres I am a medical doctor and population geneticist deeply  Oct 17, 2019 John Ioannidis, Director, Stanford Prevention Research Center Vikram Patel, Pershing Square Twitter: @worldhealthsmt facebook.com/  Author(s): Konstantinos Toutouzas, John Skoumas, Iosif Koutagiar, Georgios Michael D. Hadjidaniel, Petros Mina, Pavlos Antoniou, Marios Ioannides,  Mar 11, 2021 You & John Ioannidis are my favorite epidemiologists as you make the effort to look at data carefully & without prejudice.

behöver tänka på när man blir äldre samt budskap på Twitter och Facebook skapade John Bratel, suppleant Alexandra Ioannidis Olsson.

Recently, Professor John Ioannidis, most famous for his meta-science and more recently  Ska snart lyssna till John Ioannidis föreläsa på KI ”Redefining research quality: The reproducibility challenge”. Peppnivå: hög! 6:37 AM - 23 Oct  John Ioannidis ingår som en av författarna i Santa Clara-studien (han omnämns bl.a. i det sammanhaget i artiklarna ovan). Hans fortsatta egna  John Ioannidis Santa Clara studie har fått hård kritik, men den här intervjun med honom är väldigt bra.

2014-03-15 · The paper it introduced was published in 2005 by John Ioannidis, an epidemiologist who was then at the University of Ioannina, in Greece, and is now at Stanford. Vi skulle vilja visa dig en beskrivning här men webbplatsen du tittar på tillåter inte detta. 2014-10-21 · In a 2005 paper that has been accessed more than a million times, John Ioannidis explained why most published research findings were false. Here he revisits the topic, this time to address how to improve matters. Please see later in the article for the Editors' Summary C.F. Rehnborg Chair in Disease Prevention, Professor of Medicine, of Epidemiology and Population Health, and (by courtesy) of Biomedical Data Science, and of St Statistical significance sets a convenient obstacle to unfounded claims. In my view, removing the obstacle (V.