Mentions
Extended reach
Total likes
Video views
AI synopsis
Many discussions focused on understanding Bayesian methods, with posts seeking guides for beginners and referencing secondary analyses of clinical trials. For instance, contributors shared resources and insights, emphasizing phrases like 'admiring that you’re working to learn more' and 'this is a great new paper', which indicate an encouraging and supportive tone, highlighting the potential influence of the publication on improving critical care practices.
The discussions reflect a general consensus that Bayesian methods provide valuable insights, with many reinforcing the publication's relevance in critical care.
There is significant curiosity about Bayesian techniques, as evidenced by users seeking guides and sharing resources on the subject.
Participants are actively referencing specific methods and their implications, but the interaction is more informative than deeply analytical.
The perceived implications of the research are seen as substantial, with many contributors suggesting these methods could change how trials are interpreted.
Our paper on primer of Bayesian methods with emphasis on reanalysis of clinical trials has just appeared online at @ATSBlueEditor (open access). An honor to work together with such a stellar group. @Michael_Harhay, @msh_manu, @JonathanCaseyMD, @f2harrell. https://t.co/fzygjEpwr0
Guides for Bayesian beginners (including me
Using Bayesian Methods to Augment the Interpretation of Critical Care Trials. An Overview of Theory and Example Reanalysis of the Alveolar Recruitment for Acute Respiratory Distress Syndrome Trial
Overview of Bayesian methods and interpretation in #CriticalCare trials from superteam @f_g_zampieri @JonathanCaseyMD @msh_manu @f2harrell @Michael_Harhay https://t.co/bIDH8I0ICU
@raj_mehta @drjohnm @BenYAndrew I think it’s admirable that you’re working to learn more about this, John. For what it’s worth, a few folks you may recognize from elsewhere on Twitter write this in an effort to create a suggested framework for Bayesian re-analysis of trials: https://t.co/WkaL3Qqo4s
Honest question for #medtwitter #criticalcare peeps: how many folks have had SENIOR author Blue Journal papers during first year on faculty? I sure as hell didn't, but @Michael_Harhay and colleagues contributed a beauty. https://t.co/LrnfbM8D8f
Explore the transformative world of Bayesian analysis in this episode, which breaks down its principles and real-world applications in scientific research. Learn how Bayesian methods provide clearer probabilistic…
@GvHD_Meade @sghmd This was an example demonstrating such a ‘retconned’ study: https://t.co/SK3MUV7p9r
RT @YukiKotani5: Guides for Bayesian beginners (including me
RT @YukiKotani5: Guides for Bayesian beginners (including me
RT @YukiKotani5: Guides for Bayesian beginners (including me
RT @YukiKotani5: Guides for Bayesian beginners (including me
RT @YukiKotani5: Guides for Bayesian beginners (including me
RT @YukiKotani5: Guides for Bayesian beginners (including me
RT @YukiKotani5: Guides for Bayesian beginners (including me
RT @YukiKotani5: Guides for Bayesian beginners (including me
RT @YukiKotani5: Guides for Bayesian beginners (including me
RT @YukiKotani5: Guides for Bayesian beginners (including me
RT @YukiKotani5: Guides for Bayesian beginners (including me
RT @YukiKotani5: Guides for Bayesian beginners (including me
RT @YukiKotani5: Guides for Bayesian beginners (including me
RT @YukiKotani5: Guides for Bayesian beginners (including me
RT @YukiKotani5: Guides for Bayesian beginners (including me
RT @YukiKotani5: Guides for Bayesian beginners (including me
RT @YukiKotani5: Guides for Bayesian beginners (including me
RT @YukiKotani5: Guides for Bayesian beginners (including me
RT @YukiKotani5: Guides for Bayesian beginners (including me
RT @YukiKotani5: Guides for Bayesian beginners (including me
RT @YukiKotani5: Guides for Bayesian beginners (including me
Guides for Bayesian beginners (including me
@AnilMakam @VPrasadMDMPH @YukiKotani5 @NEJMEvidence @neurointensivos @RitwikBhatiaMD @JBLascarrou @relm_11969 @SarinaKS @Paul_Wischmeyer @dakaufman123 @icmteaching You chose a variety of reasonable priors for sensitivity analysis and to show how they influence the outcome. There's a nice paper about secondary analysis of RCTs and potential priors here which is my go to. https://t.co/ARmepxE6mD @f_g_zampieri
RT @teddyhla: Reading list 1. https://t.co/DcNR6xxyEk
Reading list 1. https://t.co/DcNR6xxyEk
@shanfernands @emily_fri @PaulNWilliamz @ecgoligher Overall: Frequentist analysis is based on obtaining estimates of a fixed effect based on random data. Bayesian analysis is estimating possible effect sizes compatible with data and prior. We discussed the background in https://t.co/5OBu6KKUNK
RT @michelle_d: @fbwill_williams @annehmardy @MFMSperling @UTHealthObGyn @BartalMichal @Scblackwellmd @clifton_brock @mfmchauhan @MichaelMA…
@fbwill_williams @annehmardy @MFMSperling @UTHealthObGyn @BartalMichal @Scblackwellmd @clifton_brock @mfmchauhan @MichaelMAzizMD1 @NanRaghuraman @MethodTuuli I like this very short overview on the #Stata website. https://t.co/AId3plc9xU And this is a nice article from the critical care literature relating #Bayes to #RCTs https://t.co/CSERI6ul58
An oldie but a goodie. First pub from early 2021 from @Michael_Harhay Clinical Trials Methods and Outcomes Lab. Check it - https://t.co/oVRs391qic https://t.co/VjuezswtqD
article https://t.co/hPs69jm7j1 ; palette https://t.co/eLp2CekQEJ ; Plotting it with @mjskay 's ggdist
@DrToddLee @gushamilton @nickopotamus Indeed! I just followed Zampieri et al.’s suggestion https://t.co/zk7EZAQKvy. Lately, I have been wondering in a better way to express such priors. It’s hard for the non-expert reader to get a full sense of what those distributions in the log scale actually mean (1/2)
@jddneary @f2harrell @ADAlthousePhD @drjohnm @djc795 @stephensenn @statberry @KertViele @brophyj @kaulcsmc @PulmCrit @f_g_zampieri John, can we take their final results and apply a different prior if you'd like (more skeptical or neutral perhaps?) https://t.co/WybfIub2WH Also it helps that RAPID trial also released results which were favorable and I've a thread where I combine the data from both
@arthur_alb1 @DrToddLee @karlahemming @rjlilford @DavidT_Arnold Thanks!! Here: https://t.co/uBF6M6SaXY (although they don't matter much, as you can see...)
RT @DrToddLee: Have used simulated dataset and approached bayesian thinking re colcorona as recommended by article: https://t.co/okSnVLSrB…
@arthur_alb1 @SolomonKurz Arthur, I assume you’re familiar with this paper: https://t.co/WkaL3Qqo4s
Journal club with @SKhanIU is combined with a year-long delve into Naked Statistics by @CharlesWheelan. Today we discussed this paper on baclofen in EtOH wdrawal- https://t.co/rfASqLJMPV And a bayesian methods detour touched on this by @f_g_zampieri https://t.co/WVuR4Er4Vm
RT @ATSBlueEditor: Using Bayesian Methods to Augment the Interpretation of Critical Care Trials. An Overview of Theory and Example Reanalys…
RT @ATSBlueEditor: Using Bayesian Methods to Augment the Interpretation of Critical Care Trials. An Overview of Theory and Example Reanalys…
RT @ATSBlueEditor: Using Bayesian Methods to Augment the Interpretation of Critical Care Trials. An Overview of Theory and Example Reanalys…
RT @ATSBlueEditor: Using Bayesian Methods to Augment the Interpretation of Critical Care Trials. An Overview of Theory and Example Reanalys…
RT @ATSBlueEditor: Using Bayesian Methods to Augment the Interpretation of Critical Care Trials. An Overview of Theory and Example Reanalys…
RT @ATSBlueEditor: Using Bayesian Methods to Augment the Interpretation of Critical Care Trials. An Overview of Theory and Example Reanalys…
RT @ATSBlueEditor: Using Bayesian Methods to Augment the Interpretation of Critical Care Trials. An Overview of Theory and Example Reanalys…
RT @ATSBlueEditor: Using Bayesian Methods to Augment the Interpretation of Critical Care Trials. An Overview of Theory and Example Reanalys…
RT @ATSBlueEditor: Using Bayesian Methods to Augment the Interpretation of Critical Care Trials. An Overview of Theory and Example Reanalys…
RT @ATSBlueEditor: Using Bayesian Methods to Augment the Interpretation of Critical Care Trials. An Overview of Theory and Example Reanalys…
Using #Bayesian Methods to Augment the Interpretation of Critical Care Trials. An Overview of Theory and Example Reanalysis of the Alveolar Recruitment for Acute Respiratory Distress Syndrome Trial #ARDS #ICU @atsblueeditor https://t.co/uAU9d0roZd
RT @ATSBlueEditor: Using Bayesian Methods to Augment the Interpretation of Critical Care Trials. An Overview of Theory and Example Reanalys…
RT @ATSBlueEditor: Using Bayesian Methods to Augment the Interpretation of Critical Care Trials. An Overview of Theory and Example Reanalys…
RT @ATSBlueEditor: Using Bayesian Methods to Augment the Interpretation of Critical Care Trials. An Overview of Theory and Example Reanalys…
RT @ATSBlueEditor: Using Bayesian Methods to Augment the Interpretation of Critical Care Trials. An Overview of Theory and Example Reanalys…
RT @ATSBlueEditor: Using Bayesian Methods to Augment the Interpretation of Critical Care Trials. An Overview of Theory and Example Reanalys…
Using Bayesian Methods to Augment the Interpretation of Critical Care Trials. An Overview of Theory and Example Reanalysis of the Alveolar Recruitment for Acute Respiratory Distress Syndrome Trial
Using Bayesian Methods to Augment the Interpretation of Critical Care Trials. An Overview of Theory and Example Reanalysis of the Alveolar Recruitment for Acute Respiratory Distress Syndrome Trial – via @ATSBlueEditor https://t.co/sY0feOxEzH
RT @some4mv: Using Bayesian Methods to Augment the Interpretation of Critical Care Trials. An Overview of Theory and Example Reanalysis of the Alveolar Recruitment for Acute Respiratory Distress Syndrome Trial https://t.co/zhPRpxiLO2 #SoMe4MV from @ATSBlueEditor
RT @some4mv: Using Bayesian Methods to Augment the Interpretation of Critical Care Trials. An Overview of Theory and Example Reanalysis of…
Bayesian in clinical trial vs frequentist statistics. https://t.co/icZKE3FuZT
Using Bayesian Methods to Augment the Interpretation of Critical Care Trials. An Overview of Theory and Example Reanalysis of the Alveolar Recruitment for Acute Respiratory Distress Syndrome Trial https://t.co/zhPRpxiLO2 #SoMe4MV from @ATSBlueEditor
RT @ADAlthousePhD: @raj_mehta @drjohnm @BenYAndrew I think it’s admirable that you’re working to learn more about this, John. For what it…
RT @DrToddLee: Have used simulated dataset and approached bayesian thinking re colcorona as recommended by article: https://t.co/okSnVLSrB…
RT @DrToddLee: Have used simulated dataset and approached bayesian thinking re colcorona as recommended by article: https://t.co/okSnVLSrB…
RT @DrToddLee: Have used simulated dataset and approached bayesian thinking re colcorona as recommended by article: https://t.co/okSnVLSrB…
RT @DrToddLee: Have used simulated dataset and approached bayesian thinking re colcorona as recommended by article: https://t.co/okSnVLSrB…
RT @DrToddLee: Have used simulated dataset and approached bayesian thinking re colcorona as recommended by article: https://t.co/okSnVLSrB…
Have used simulated dataset and approached bayesian thinking re colcorona as recommended by article: https://t.co/okSnVLSrBl Stata v 15 bayesian logit, 50000 repeats Probability OR <0.8 Neutral weak - 63% Pessimistic weak - 61% Optimistic weak - 67% @drjohnm @brophyj
RT @pash22: Using Bayesian Methods to Augment the Interpretation of Critical Care Trials: An Overview of Theory and Example Reanalysis of t…
Using Bayesian Methods to Augment the Interpretation of Critical Care Trials: An Overview of Theory and Example Reanalysis of the Alveolar Recruitment Trial https://t.co/ZnWuykp5Tf via @f_g_zampieri
RT @ADAlthousePhD: @raj_mehta @drjohnm @BenYAndrew I think it’s admirable that you’re working to learn more about this, John. For what it…
RT @ADAlthousePhD: @raj_mehta @drjohnm @BenYAndrew I think it’s admirable that you’re working to learn more about this, John. For what it…
@raj_mehta @drjohnm @BenYAndrew I think it’s admirable that you’re working to learn more about this, John. For what it’s worth, a few folks you may recognize from elsewhere on Twitter write this in an effort to create a suggested framework for Bayesian re-analysis of trials: https://t.co/WkaL3Qqo4s
@drjgauthier @RShouval https://t.co/TgJppIhBLX this is a great new paper (Harrell is a coauthor) which looks at effect of priors with different degrees of informativeness. They recommend providing results from a “skeptical”, “pessimistic” and “optimistic” prior when analyzing retrospectively.
Using #Bayesian Methods to Augment the Interpretation of Critical Care Trials: An Overview of Theory and Example Reanalysis of the Alveolar Recruitment Trial | American Journal of Respiratory and Critical Care Medicine https://t.co/GirFd8MahV @atsjournal #icu
RT @gsmartinmd: Overview of Bayesian methods and interpretation in #CriticalCare trials from superteam @f_g_zampieri @JonathanCaseyMD @msh_…
RT @gsmartinmd: Overview of Bayesian methods and interpretation in #CriticalCare trials from superteam @f_g_zampieri @JonathanCaseyMD @msh_…
RT @gsmartinmd: Overview of Bayesian methods and interpretation in #CriticalCare trials from superteam @f_g_zampieri @JonathanCaseyMD @msh_…
RT @gsmartinmd: Overview of Bayesian methods and interpretation in #CriticalCare trials from superteam @f_g_zampieri @JonathanCaseyMD @msh_…
RT @gsmartinmd: Overview of Bayesian methods and interpretation in #CriticalCare trials from superteam @f_g_zampieri @JonathanCaseyMD @msh_…
RT @gsmartinmd: Overview of Bayesian methods and interpretation in #CriticalCare trials from superteam @f_g_zampieri @JonathanCaseyMD @msh_…
Overview of Bayesian methods and interpretation in #CriticalCare trials from superteam @f_g_zampieri @JonathanCaseyMD @msh_manu @f2harrell @Michael_Harhay https://t.co/bIDH8I0ICU
RT @f_g_zampieri: Our paper on primer of Bayesian methods with emphasis on reanalysis of clinical trials has just appeared online at @ATSBl…
RT @f_g_zampieri: Our paper on primer of Bayesian methods with emphasis on reanalysis of clinical trials has just appeared online at @ATSBl…
RT @f_g_zampieri: Our paper on primer of Bayesian methods with emphasis on reanalysis of clinical trials has just appeared online at @ATSBl…
RT @f_g_zampieri: Our paper on primer of Bayesian methods with emphasis on reanalysis of clinical trials has just appeared online at @ATSBl…
RT @f_g_zampieri: Our paper on primer of Bayesian methods with emphasis on reanalysis of clinical trials has just appeared online at @ATSBl…
RT @ScottHalpernMD: Honest question for #medtwitter #criticalcare peeps: how many folks have had SENIOR author Blue Journal papers during f…
RT @ScottHalpernMD: Honest question for #medtwitter #criticalcare peeps: how many folks have had SENIOR author Blue Journal papers during f…
RT @f_g_zampieri: Our paper on primer of Bayesian methods with emphasis on reanalysis of clinical trials has just appeared online at @ATSBl…
RT @f_g_zampieri: Our paper on primer of Bayesian methods with emphasis on reanalysis of clinical trials has just appeared online at @ATSBl…
Honest question for #medtwitter #criticalcare peeps: how many folks have had SENIOR author Blue Journal papers during first year on faculty? I sure as hell didn't, but @Michael_Harhay and colleagues contributed a beauty. https://t.co/LrnfbM8D8f
RT @f_g_zampieri: Our paper on primer of Bayesian methods with emphasis on reanalysis of clinical trials has just appeared online at @ATSBl…
RT @f_g_zampieri: Our paper on primer of Bayesian methods with emphasis on reanalysis of clinical trials has just appeared online at @ATSBl…
RT @f_g_zampieri: Our paper on primer of Bayesian methods with emphasis on reanalysis of clinical trials has just appeared online at @ATSBl…
RT @f_g_zampieri: Our paper on primer of Bayesian methods with emphasis on reanalysis of clinical trials has just appeared online at @ATSBl…
RT @f_g_zampieri: Our paper on primer of Bayesian methods with emphasis on reanalysis of clinical trials has just appeared online at @ATSBl…
Using Bayesian Methods to Augment the Interpretation of Critical Care Trials: An Overview of Theory and Example Reanalysis of the Alveolar Recruitment Trial | American Journal of Respiratory and Critical Care Medicine | Articles in Press https://t.co/EqoWWDNnbE
RT @f_g_zampieri: Our paper on primer of Bayesian methods with emphasis on reanalysis of clinical trials has just appeared online at @ATSBl…
RT @f_g_zampieri: Our paper on primer of Bayesian methods with emphasis on reanalysis of clinical trials has just appeared online at @ATSBl…
RT @f_g_zampieri: Our paper on primer of Bayesian methods with emphasis on reanalysis of clinical trials has just appeared online at @ATSBl…
RT @f_g_zampieri: Our paper on primer of Bayesian methods with emphasis on reanalysis of clinical trials has just appeared online at @ATSBl…
RT @f_g_zampieri: Our paper on primer of Bayesian methods with emphasis on reanalysis of clinical trials has just appeared online at @ATSBl…
Our paper on primer of Bayesian methods with emphasis on reanalysis of clinical trials has just appeared online at @ATSBlueEditor (open access). An honor to work together with such a stellar group. @Michael_Harhay, @msh_manu, @JonathanCaseyMD, @f2harrell. https://t.co/fzygjEpwr0