381 Matching Annotations
  1. Last 7 days
    1. assumes that there are default humans who serve as the standard
      • it is not correct!
      • only that measures are distributed around a mean
      • how to interpret that?
  2. Dec 2021
    1. But ifall we’re doing is cherry-picking, we could just as easily have chosenthe much earlier burial known to archaeologists as Romito 2 (afterthe Calabrian rock-shelter where it was found). Let’s take a momentto consider what it would mean if we did this.

      Keep in mind here that these are only singular examples they're talking about amongst millions of data points that we don't have.

    1. ReconfigBehSci. (2021, December 7). Given an estimate whereby the average person knows ca. 600 people, assuming 50% vaxxed, the average person would know 8 people who died of the vaccine. It is hard to believe numeracy is so low that people cannot see how crazy these “statistics” are... [Tweet]. @SciBeh. https://twitter.com/SciBeh/status/1468163579069280258

    1. Tom Moultrie. (2021, December 12). Given the comedic misinterpretation of the South African testing data offered by @BallouxFrancois (and many others!) last night ... I offer some tips having contributed to the analysis of the testing data for the @nicd_sa since April last year. (1/6) [Tweet]. @tomtom_m. https://twitter.com/tomtom_m/status/1469954015932915718

    1. ReconfigBehSci. (2021, December 9). a rather worrying development- a (local) newspaper “fact checking” the new German health minister simply by interviewing a virologist who happens to have a different view. There’s simply no established “fact” as to the severity of omicron in children at this point in time [Tweet]. @SciBeh. https://twitter.com/SciBeh/status/1469037817481334786

    1. Dave Keating. (2021, December 8). Boris Johnson’s continued pretence that UK is one of the most vaccinated countries in the world, repeated again in press conference just now announcing new restrictions, is getting tiresome. That has not been the case for many many months, despite 🇬🇧🇺🇸 vaccine hoarding early on. Https://t.co/tQt6aXGtNI [Tweet]. @DaveKeating. https://twitter.com/DaveKeating/status/1468655107436802052

  3. Nov 2021
  4. Oct 2021
    1. Dr Nisreen Alwan 🌻 on Twitter: “New @ONS #LongCovid estimates published today: 1.1 MILLION (1.7% of the whole UK population). Up from the summer estimate of 1.5%. 211,000 people with daily activities ‘limited a lot’. Greatest % in working age (35-69y). Rising prevalence in 17-24y. A tsunami of chronic illness.” / Twitter. (n.d.). Retrieved October 10, 2021, from https://twitter.com/Dr2NisreenAlwan/status/1446110337753829379

    1. Hippisley-Cox, J., Patone, M., Mei, X. W., Saatci, D., Dixon, S., Khunti, K., Zaccardi, F., Watkinson, P., Shankar-Hari, M., Doidge, J., Harrison, D. A., Griffin, S. J., Sheikh, A., & Coupland, C. A. C. (2021). Risk of thrombocytopenia and thromboembolism after covid-19 vaccination and SARS-CoV-2 positive testing: Self-controlled case series study. BMJ, n1931. https://doi.org/10.1136/bmj.n1931

  5. Sep 2021
    1. This is an excellent example of just how convoluted and brain-numbing statistics can be if you really get into it - yet how vitally important it is to have excellent statisticians working on important problems like determining how exactly COVID is spreading.

    1. Sam Wang on Twitter: “These are risk levels that you pose to other people. They’re compared with you as—A nonsmoker—A sober driver—A vaccinated person. Unvaccinated? 5x as likely to get sick, for 3x as long. Total risk to others? 15x a vaccinated person Details:https://t.co/ckTWaivK8n https://t.co/PhpLvX2dsm” / Twitter. (n.d.). Retrieved September 19, 2021, from https://twitter.com/SamWangPhD/status/1438361144759132167

    1. David Dowdy on Twitter: “@NEJM joining the waning immunity debate. I’m going to push back a bit. Data from @UCSDHealth of vax effectiveness in health workers: 94% in June, 65% in July. Interpreted as ‘likely to be due to...delta and waning immunity over time, compounded by end of masking requirements.’ https://t.co/flDOfBbTs7” / Twitter. (n.d.). Retrieved September 2, 2021, from https://twitter.com/davidwdowdy/status/1433254675915157504?s=20

    1. Bracher, J., Wolffram, D., Deuschel, J., Görgen, K., Ketterer, J. L., Ullrich, A., Abbott, S., Barbarossa, M. V., Bertsimas, D., Bhatia, S., Bodych, M., Bosse, N. I., Burgard, J. P., Castro, L., Fairchild, G., Fuhrmann, J., Funk, S., Gogolewski, K., Gu, Q., … Xu, F. T. (2021). A pre-registered short-term forecasting study of COVID-19 in Germany and Poland during the second wave. Nature Communications, 12(1), 5173. https://doi.org/10.1038/s41467-021-25207-0

  6. Aug 2021
    1. Tim Plante, MD MHS on Twitter: “Just reported: About half of recent ICU patients with #Covid19 in #Vermont are vaccinated. Sounds like the vaccines aren’t working, right? WRONG. Vaccines are working and here’s why. But first, let’s talk a bit about unprotected sex. A thread. (Refs at the end.) 1/n https://t.co/iyQcfCDAfh” / Twitter. (n.d.). Retrieved August 27, 2021, from https://twitter.com/tbplante/status/1430222978961317896

    1. Prof. Christina Pagel on Twitter: “THREAD latest on B.1.617.2 variant in England: B.1.617.2 (1st discovered in India) is now dominant in England. Here is a thread summarising latest PHE report and Sanger local data. TLDR: it is NOT good news. 1/7” / Twitter. (n.d.). Retrieved August 24, 2021, from https://twitter.com/chrischirp/status/1399333330286415876

    1. (2) David Fisman on Twitter: “Here’s some really simple modeling that hopefully will help provide some insight into why having a large, unvaccinated minority in Ontario is a problem for the population as a whole.” / Twitter. (n.d.). Retrieved August 23, 2021, from https://twitter.com/DFisman/status/1427940663925092354

    1. Denise Dewald, MD 🗽. (2021, August 12). Here are some modeling predictions for the delta variant from COVSIM (group at North Carolina State): PLEASE CHECK THIS OUT - RESOURCES TO SHARE WITH YOUR SCHOOL DISTRICT School-level COVID-19 Modeling Results for North Carolina for #DeltaVariant https://t.co/zU5hB9bKlY [Tweet]. @denise_dewald. https://twitter.com/denise_dewald/status/1425626289399009288

    1. Youyang Gu on Twitter: “People were worried cases would spike further when the UK lifted almost all remaining restrictions in July. The opposite happened. We must acknowledge that restrictions aren’t all that effective in Western countries. (Except Australia, who just entered their 6th lockdown) https://t.co/l7tygXQqn7” / Twitter. (n.d.). Retrieved August 13, 2021, from https://twitter.com/youyanggu/status/1423415277765734402

    1. André Picard on Twitter: “Most of those numbers are in the column, which focuses on a) the risk of the Delta variant to children under 12 and b) the 29% of Canadians who are not fully vaccinated. Brace yourself for more COVID-19 nastiness https://t.co/V0agVYvKRx” / Twitter. (n.d.). Retrieved August 13, 2021, from https://twitter.com/picardonhealth/status/1425316861176995840

    1. Sir Patrick Vallance on Twitter: “Correcting a statistic I gave at the press conference today, 19 July. About 60% of hospitalisations from covid are not from double vaccinated people, rather 60% of hospitalisations from covid are currently from unvaccinated people.” / Twitter. (n.d.). Retrieved August 4, 2021, from https://twitter.com/uksciencechief/status/1417204235356213252

    1. Benjy Renton on Twitter: “Over half of those who answered ‘wait and see’ to @KFF’s vaccine poll in January have now received the vaccine. So what changed their mind? - Seeing friends and family without side effects—Doctors and healthcare providers encouraging them https://t.co/iRxWp2BLTQ https://t.co/XStHV975Qt” / Twitter. (n.d.). Retrieved August 2, 2021, from https://twitter.com/bhrenton/status/1415163661291819008?s=20

  7. Jul 2021
    1. Youyang Gu. (2021, May 25). Is containing COVID-19 a requirement for preserving the economy? My analysis suggests: Probably not. In the US, there is no correlation between Covid deaths & changes in unemployment rates. However, blue states are much more likely to have higher increases in unemployment. 🧵 https://t.co/JrikBtawEb [Tweet]. @youyanggu. https://twitter.com/youyanggu/status/1397230156301930497

  8. Jun 2021
    1. Helen McArdle on Twitter: “The good news: An astonishing 98.2% of over-60s in Scotland are now fully vaccinated. That’s an amazing uptake. It doesn’t mean they are 100% protected of course (and especially not when case rates are high) but their risk of hospitalisation/death is cut by over 90% https://t.co/DzAxkpLvcR” / Twitter. (n.d.). Retrieved June 30, 2021, from https://twitter.com/HMcArdleHT/status/1409821893557768195

    1. Jeremy Faust MD MS (ER physician) on Twitter: “Number of Covid cases among children in US: >4 million. Number of Covid deaths in US children: 300-400. Number of kids vaccinated: 7 million. Number of kids who died from vaccine-related myocarditis: Zero. #vaccinate @bhrenton @RickABright @angie_rasmussen @celinegounder” / Twitter. (n.d.). Retrieved June 28, 2021, from https://twitter.com/jeremyfaust/status/1408880589319647243?s=20

    1. Knock, E. S., Whittles, L. K., Lees, J. A., Perez-Guzman, P. N., Verity, R., FitzJohn, R. G., Gaythorpe, K. A. M., Imai, N., Hinsley, W., Okell, L. C., Rosello, A., Kantas, N., Walters, C. E., Bhatia, S., Watson, O. J., Whittaker, C., Cattarino, L., Boonyasiri, A., Djaafara, B. A., … Baguelin, M. (2021). Key epidemiological drivers and impact of interventions in the 2020 SARS-CoV-2 epidemic in England. Science Translational Medicine, eabg4262. https://doi.org/10.1126/scitranslmed.abg4262

  9. May 2021
    1. 2020 has shown that Ioannidis’s claim does not apply to all areas of science. In amazing speed, bio-tech companies were able to make not just one but several successful vaccine’s with high effectiveness. Clearly some sciences are making real progress. On the other hand, other areas of science suggest that Ioannidis’s claims were accurate. For example, the whole literature on single-gene variations as predictors of human behavior has produced mostly false claims. Social psychology has a replication crisis where only 25% of published results could be replicated (OSC, 2015)
    1. Thematic analysis was used to explore the qualitative data captured in the online survey. [22,23] describe thematic analysis as a method that seeks to find patterns, or categories, that emerge from the data, enabling the researcher to organise and provide detailed description.

      This seems like an interesting area to look into further.

      Two cited sources here:

    2. All statistical comparisons were therefore performed using non-parametric methods, to avoid introducing errors based on assumptions of normality in the data. Repeated measures comparisons were performed using the Friedman test, except where specified, with post-hoc pairwise comparisons made using the Friedman-Nemenyi test. Although no direct measure of effect size for the Friedman test is generally recognized, an indirect measure of effect size was obtained using the Kendall’s W-statistic (KW), computed from the Friedman Q value [19,20]. Effect sizes were interpreted as follows: weak: KW< 0.19; moderate 0.20< KW< 0.39; strong 0.4< KW.

      Delve into these techniques.