Bayes factor design analysis: Planning for compelling evidence https://t.co/RtMfq2WRyu
Bayes factor design analysis: Planning for compelling evidence https://t.co/RtMfq2WRyu
Bayes factor design analysis: Planning for compelling evidence https://t.co/RtMfq2EIkm
RT @mutopsy: といっても,実際にやってみないとちゃんと評価はできないかも。ちなみにBFデザイン分析はこの論文→ https://t.co/Fxz4T5dPDm
RT @mutopsy: といっても,実際にやってみないとちゃんと評価はできないかも。ちなみにBFデザイン分析はこの論文→ https://t.co/Fxz4T5dPDm
RT @conscious_tlab: Actually many journals do implement Partial Registered Report. Journal of Cognitive Neuroscience, for example, encoura…
RT @conscious_tlab: Actually many journals do implement Partial Registered Report. Journal of Cognitive Neuroscience, for example, encoura…
RT @conscious_tlab: Partial registered reports with "bayes factor design analysis" https://t.co/BCJPrECv5q provides us a much better and sy…
RT @conscious_tlab: Actually many journals do implement Partial Registered Report. Journal of Cognitive Neuroscience, for example, encoura…
Actually many journals do implement Partial Registered Report. Journal of Cognitive Neuroscience, for example, encourage this. Brad Postle @postlelab says ""It can also happen that authors want to include pilot data in a Stage 1 manuscript.
Bayes factor design analysis: Planning for compelling evidence | SpringerLink https://t.co/66KaZGYgSp
Partial registered reports with "bayes factor design analysis" https://t.co/BCJPrECv5q provides us a much better and systematic alternative. We can stop recruiting participants when we reach a conclusion.
Schonbrodt & Wakenmakers (2018). Bayes factor design analysis: Planning for compelling evidence. https://t.co/ggDCJS7WAv
Bayes factor design analysis: Planning for compelling evidence https://t.co/4iRg6dO2Ja
@b_jorges Yes. These might be helpful? https://t.co/tWCvesG5Gh and https://t.co/kiMuQkCjbd By @EJWagenmakers @nicebread303 @ephemeralidea et al.
Bayes factor design analysis: Planning for compelling evidence https://t.co/4iRg6dO2Ja
RT @ephemeralidea: @LottyBrand Hi @LottyBrand, a-priori simulations would be the way to go. You can check out @nicebread303 et al's (https:…
@LottyBrand Hi @LottyBrand, a-priori simulations would be the way to go. You can check out @nicebread303 et al's (https://t.co/A3CxVXXdF0) or my (https://t.co/ideR2J0ktf) paper. For some cases, our R-package (https://t.co/xXGx7nQpDA) might also be helpful.
@actpredictlab @lakens @richarddmorey @wdonald_1985 @JeffRouder @FrederikAust @JuliaHaaf I have seen the argument that *effect sizes* are biased under optional stopping. We counter it here: https://t.co/wdpP6yv50z, section "Unbiasedness of effect size esti
Background: https://t.co/6kAQWclgDq
RT @darrenjyeo: @DrVicSimms @tomfaulkenberry If you are using BFs for hypothesis testing, I think Bayes Factor Design Analysis is a promisi…
@DrVicSimms @tomfaulkenberry If you are using BFs for hypothesis testing, I think Bayes Factor Design Analysis is a promising approach https://t.co/oETTAVMizG (tutorial: https://t.co/9qDcxE0fQv, R package: https://t.co/3CXr60DTWP)
@mbialek82 Check out this one https://t.co/H6fzVFDiGH
@J_A_Quent @PieterHog @lakens We have used "Bayes factor design analysis" as a term (as well as "rate of misleading evidence"). See for instance https://t.co/PnV60BKWTD or https://t.co/wdpP6yv50z
Well, it took me a bit, but I finally completed my first #Bayesian design analysis. Have look: https://t.co/mgZTpwWobk I can only wholeheartly recommend @nicebread303 and @EJWagenmakers's paper: https://t.co/KUUQO6NtFV
@micahgallen @LHuntNeuro @sampendu @DrGBuckingham @jonroiser @talyarkoni BFDA is really nice way of planning this for a RR. Perfect, really. https://t.co/QOvRO9D1E1
@rrangana1 @JoostDessing Sure. To the best of my knowledge, it doesn't matter for the interpretation of the Bayes factors. However, Bayes Factor Design Analysis is more elegant. See this by @nicebread303 & @EJWagenmakers https://t.co/QOvRO9D1E1
@PieterHog @CaAl @richarddmorey @EikoFried @MicheleNuijten @statsepi https://t.co/FYV14S7vZ4 by @nicebread303 @EJWagenmakers
@lakens @ajweinstein @wviechtb Using this guide and associated r-package to try and do it right! https://t.co/kUVear7eyw
RT @CyrilRPernet: @EJWagenmakers strikes again ! Bayes factor design analysis: Planning for compelling evidence https://t.co/E6fz8Z9Fzn
RT @DanielGucciardi: Bayes factor design analysis: Planning for compelling evidence https://t.co/mL0CCTBFBn
RT @DanielGucciardi: Bayes factor design analysis: Planning for compelling evidence https://t.co/mL0CCTBFBn
Bayes factor design analysis: Planning for compelling evidence https://t.co/mL0CCTBFBn
RT @CyrilRPernet: @EJWagenmakers strikes again ! Bayes factor design analysis: Planning for compelling evidence https://t.co/E6fz8Z9Fzn
RT @CyrilRPernet: @EJWagenmakers strikes again ! Bayes factor design analysis: Planning for compelling evidence https://t.co/E6fz8Z9Fzn
RT @CyrilRPernet: @EJWagenmakers strikes again ! Bayes factor design analysis: Planning for compelling evidence https://t.co/E6fz8Z9Fzn
RT @CyrilRPernet: @EJWagenmakers strikes again ! Bayes factor design analysis: Planning for compelling evidence https://t.co/E6fz8Z9Fzn
RT @CyrilRPernet: @EJWagenmakers strikes again ! Bayes factor design analysis: Planning for compelling evidence https://t.co/E6fz8Z9Fzn
RT @CyrilRPernet: @EJWagenmakers strikes again ! Bayes factor design analysis: Planning for compelling evidence https://t.co/E6fz8Z9Fzn
pre-print here https://t.co/40gw2bEIJC https://t.co/a9BhlBP58O
@EJWagenmakers strikes again ! Bayes factor design analysis: Planning for compelling evidence https://t.co/E6fz8Z9Fzn
Bayes factor design analysis: Planning for compelling evidence https://t.co/QF7iZPuosG
RT @kyn02666: ベイズファクターで証拠を論じたい場合の、実験デザインの組み方 Bayes factor design analysis: Planning for compelling evidence https://t.co/m1XNgptV8e