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@f2harrell 18.03 15:30
Thrilled to be interviewed by imminent cardiologist and clinical trialist Mike Gibson yesterday about the new draft Bayesian guidance at FDA: https://clinicaltrialresults.org/dr-frank-harrell-and-dr-c-michael-gibson-talk-about-the-fdas-new-draft-guidance-on-using-bayesian-methods-in-clinical-trials-and-it-could-be-a-game-changer/ #Statistics #bayes #pharma #clinicaltrials #rct @CMichaelGibson
@f2harrell 17.03 12:37
Fantastic new paper casting doubt on explainability of explainable AI: https://academic.oup.com/ehjdh/article/7/3/ztag038/8512917 @MaartenvSmeden #machinelearning #Statistics
@f2harrell @EdKrassen RT von @f2harrell 17.03 12:32
Wow! After Donald Trump mocked Gavin Newsom and other people with dyslexia and learning disabilities, Newsom’s wife, Jennifer Siebel Newsom, just completely torched him. The end is the best part.
@f2harrell 16.03 14:07
Correct interpretation of p > 0.05: The current sample size did not yield sufficient evidence to reject, at the incredibly arbitrary 0.05 level, the supposition that the treatment does nothing, assuming data model M (describe M ...) which forgot to include covariates #Statistics
@f2harrell 13.03 15:08
Oh my goodness how did @JClinEpi allow this? The authors are pretending that point estimates are true values! For this study the subjects should not have been given point estimates & you really can't answer the survey questions without Bayesian posterior probs. #Statistics
@f2harrell @redpillb0t RT von @f2harrell 12.03 02:30
One of the greatest lectures ever.
@f2harrell @r0ck3t23 RT von @f2harrell 12.03 01:40
NVIDIA CEO Jensen Huang just said the quiet part out loud about what the education system will never admit. For a century, we built humans to think like calculators. The algorithm made that skillset obsolete overnight. Huang: “The definition of smart is somebody who’s intelligent, solve problems, technical. But I find that that’s a commodity. And we’re about to prove that artificial intelligence is able to handle that part easiest.” Software engineering was supposed to be the safe play. Superintelligence cleared it first. The SAT was supposed to measure intelligence. It was measuring the ability to follow instructions. Raw technical processing isn’t a competitive edge anymore. It’s the floor the machine stepped over before you woke up. The question isn’t what you can calculate. It’s what you can see before the data shows up. Huang: “People who are able to see around corners are truly, truly smart. And their value is incredible. To be able to preempt problems before they show up, just because you feel the vibe.” That vibe isn’t magic. It’s the collision of first principles, human empathy, and lived experience no model can fake. Huang: “That vibe came from a combination of data, analysis, first principle, life experience, wisdom, sensing other people.” The operators who see around corners will command the AI. The ones waiting for dashboards to update will be replaced by it. Huang: “I think long term the definition of smart is someone who sits at that intersection of being technically astute, but human empathy and having the ability to infer the unspoken, around the corners, the unknowables.” The unspoken variables are the new leverage. The human psychology inside a market. The invisible friction in a negotiation. The instinct to build something nobody asked for yet. You can’t spreadsheet your way there. You can’t prompt your way to that perception. It comes from decades of watching what doesn’t show up in the metrics. Huang: “And that person might actually score horribly on the SAT.” The future doesn’t belong to people who memorized answers. It belongs to people who sense the questions before anyone thinks to ask. The old system tested your ability to follow orders. The new one tests your ability to move through the unknown. And the machine can’t help you with that part. That part is entirely on you.
@f2harrell @Saganismm RT von @f2harrell 11.03 18:40
Imagine the Milky Way scaled to the size of North America. How big would our Sun look? Credit: LOVID
@f2harrell @Zigmanfreud RT von @f2harrell 11.03 14:34
Over 2 million “views” now… 🤔🥲
@f2harrell @pash22 RT von @f2harrell 10.03 02:10
Scientific datasets are riddled with copy-paste errors https://www.sciencedetective.org/scientific-datasets-are-riddled-with-copy-paste-errors/ via #MarkusEnglund
@f2harrell @Abraham_RMI RT von @f2harrell 08.03 21:58
An Empirical Assessment of the Cost of Dichotomization of the Outcome of Clinical Trials By @f2harrell @stephensenn et al. Via Statistics in Medicine https://onlinelibrary.wiley.com/doi/10.1002/sim.70402
@f2harrell 03.03 12:36
Amazingly thought provoking from @RuxandraTeslo : https://substack.com/home/post/p-189746201
@f2harrell @AlecStapp RT von @f2harrell 02.03 22:27
In a better world, policymakers would constantly be asking themselves what they can learn from the unprecedented success of Operation Warp Speed. Alas...
@f2harrell 28.02 16:18
How is it that a paper that claims to show how to do target trial emulation does not address confounding by indication and its ramifications for data collection? https://www.jclinepi.com/article/S0895-4356(26)00080-6/fulltext?rss=yes #Statistics
@f2harrell 23.02 13:56
Goal-Driven Flexible Bayesian Design presentation updated w/comparison of performance of frequentist group sequential designs: http://hbiostat.org/bayes/design . Frequentist approach takes far too long to make a decision by controlling something that is NOT an error prob. #Statistics #rct
@f2harrell 18.02 12:41
#Statistics thought of the day: If you think you can find new disease subtypes by empirically clustering patients, think again: https://www.fharrell.com/post/cluster/index.html
@f2harrell 16.02 18:24
1/2 Nail in the coffin of dichotomania: @ErikVanZwet 's paper with @stephensenn and myself just published: https://onlinelibrary.wiley.com/doi/10.1002/sim.70402 with extended discussion at https://discourse.datamethods.org/t/dichotomization #Statistics #RCT #ClinicalTrial
@f2harrell 16.02 18:24
R to @f2harrell: 2/2 Our paper shows that despite clinical trials having to use larger sample sizes to compensate for the huge information loss from using binary outcomes, the resulting power is STILL LOWER than the power of SMALLER clinical trials using continuous outcomes. #Statistics #RCT
@f2harrell @pierpi13 RT von @f2harrell 04.02 19:10
A 75 anni, Richard Gere ha condiviso una riflessione semplice ma profondissima sul tempo che passa. Sono invecchiato, sì. Ma il cuore è rimasto giovane. L’anima non ha età: resta ferma a quando abbiamo imparato a sentire davvero. E oggi so che questa è l’età perfetta. Perché ogni anno lo è. Ogni fase della vita regala qualcosa che nessun’altra può dare. Invecchiare non è una sconfitta. È un privilegio. Uno che non tutti hanno la fortuna di vivere. Non si tratta di combattere il tempo, ma di camminare al suo fianco. Di restare vivi dentro. Di custodire la curiosità, la dolcezza, la capacità di stupirsi. Perché il vero segreto non è sembrare giovani. È avere lo spirito sveglio fino all’ultimo giorno. E quando succede, tutta la vita diventa un dono.
@f2harrell @TheMonologist RT von @f2harrell 02.02 10:37
In 1959 BERTRAND RUSSELL - who left us 56yrs ago today - was asked what message he would most like to pass on to future generations. His answer resonates even more strongly over 60yrs on.
@f2harrell 29.01 13:57
Powerful video. Remember what it was like. Plot a return.
@f2harrell 23.01 15:53
The constant stream of poor biomarker research in biomedical research journals makes me think my article "How to Do Bad Biomarker Research" must have been hugely influential :-) http://www.fharrell.com/post/badb #Statistics #biomarker
@f2harrell 19.01 16:53
#Statistics thought of the day: Multiplicities have caused massive confusion. Rather than making arbitrary multiplicity adjustments, it is far more productive and interpretable to set the bar higher regarding actual assertions being made. https://hbiostat.org/bayes/bet/multiplicity #Clinicaltrial
@f2harrell @twidderix RT von @f2harrell 15.01 02:30
Es gibt sie noch, die US-Polizisten mit 🥚🥚! 👍 😊
@f2harrell 14.01 20:44
To see support and advocacy for Bayesian design and analysis at the highest level of @US_FDA is a thrill.
@f2harrell @SkylineReport RT von @f2harrell 14.01 03:50
An ICE prosecutor in Dallas, James Rodden, who was previously exposed for running a white-supremacist X account praising Hitler and calling America a “White nation,” is quietly back in immigration court. After the Texas Observer revealed his online activity last year, he was pulled from court schedules and Congress demanded an investigation. Immigration and Customs Enforcement promised a review within 120 days. That deadline blew past with zero public outcome. Now Rodden has resurfaced at the prosecutor’s table, badge on, no explanation given. ICE refuses to comment. The account is still active, just locked. Bottom line: a government lawyer who openly promotes racist ideology appears to be prosecuting immigrants again, with no transparency, no accountability, and no evidence that ICE ever did what it claimed it would do. Same system. Same silence. Same bullshit. https://www.texasobserver.org/ice-prosecutor-racist-account-back-at-immigration-court/
@f2harrell 13.01 17:48
This is a big step forward in improving the efficiency of clinical trials of drugs and biologics, and a big day for @US_FDA which I've been dreaming of for decades : https://www.fda.gov/news-events/press-announcements/fda-issues-guidance-modernizing-statistical-methods-clinical-trials #bayes #RCT #clinicaltrial #pharma
@f2harrell 03.01 14:38
R to @f2harrell: P.S. Solved the pretty-printing problem with CotEditor by telling the print dialog to use standard color theme instead of the on-screen dark theme I use.
@f2harrell 31.12 15:02
Computing tool of the day: I use Visual Studio Code Editor as my general purpose editor. But it's an overkill for almost everything I do. Enter CotEditor for Mac which so far is my dream editor (except for printing syntax-highlighted code). https://coteditor.com
@f2harrell 31.12 13:52
I want to see more "outcome explained variation" plots like this to put genetic variants, biomarkers, protein signatures, and fMRI markers in the proper predictive context.
@f2harrell @PavlosMsaouel RT von @f2harrell 30.12 17:34
Unfortunate but the whole text (except the reference list) is actually shown in the preview. Can also read the Datamethods thread which also links to freely available resources such as this one: https://academic.oup.com/jrssig/article/22/3/40/8099023
@f2harrell 30.12 15:15
I am thankful that we have a knowledgeable crusader against the silliness of non-comparative randomized trials, in @PavlosMsaouel #Statistics #ClinicalTrial
@f2harrell @5_utr RT von @f2harrell 27.12 20:20
𝗖𝗹𝗶𝗻𝗶𝗰𝗮𝗹 𝗣𝗿𝗶𝗺𝗮𝗰𝘆 Despite the hype, perfectly free and widely available biomarkers—age and stage—remain the primary anchors of effect on log survival time (lower = worse) @f2harrell
@f2harrell @RuxandraTeslo RT von @f2harrell 26.12 14:40
This was a cool read of a new way to think of endpoints, where ordinal outcomes are incorporated to "boost" power. Question: what blocks the FDA from adopting such stuff? What can we do to make this type of research enter practice and to speed its validation?