Kristin Sainani @KristinSainani
Writer, scientist, "establishment statistician" (holding the fort on truth and math). Joined July 2016-
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If you are conducting a meta-analysis make sure to TRIPLE check your largest effect sizes. Especially any SMDs over 1. Primary studies are also prone to mistakes and they may misreport SE for SD, miss a decimal place, etc. Don’t always take the reported statistics at face value
If you are conducting a meta-analysis make sure to TRIPLE check your largest effect sizes. Especially any SMDs over 1. Primary studies are also prone to mistakes and they may misreport SE for SD, miss a decimal place, etc. Don’t always take the reported statistics at face value
1. It's the 3rd meta-analysis making a "standard error" within a few weeks: the SD was conflated w the SE, leading to absurdly large effect sizes. This should not pass peer review. Here it happened in @bmj_latest. It has open peer-review, so let's see. The other 2 examples ->
1. It's the 3rd meta-analysis making a "standard error" within a few weeks: the SD was conflated w the SE, leading to absurdly large effect sizes. This should not pass peer review. Here it happened in @bmj_latest. It has open peer-review, so let's see. The other 2 examples ->
I found this to be pretty shocking. I failed to replicate a famous finding from 20 years ago, and the paper's editor reprimanded me for even *raising the possibility* that the original authors might have (unknowingly) reported a Type I error.
I found this to be pretty shocking. I failed to replicate a famous finding from 20 years ago, and the paper's editor reprimanded me for even *raising the possibility* that the original authors might have (unknowingly) reported a Type I error. https://t.co/uaRZNfeTaL
One of my pet peeves: When women are praised in hiring/promotion meetings for being “selfless”, “nice”, “helpful”, “humble”, etc. It broadcasts to women that our success depends on us being self-effacing/deferential instead of smart, productive, talented, & excellent at our jobs.
Nice to learn that our paper on calculating sample size for reliability studies ranked in the top 10% of downloaded @PMRJournal papers in the past year. Hopefully people are finding it useful! onlinelibrary.wiley.com/doi/abs/10.100… DM me if you'd like a copy.
Congratulations Marco Rubio and Bobby Jindal! You are both no longer tied for having given the worst State of the Union Response speech of all time! Meet the new champion! Alabama @GOP Sen. Katie Britt. #GOPResponse 🎉🎉
Katie Britt’s acting career is off to a really bad start.
20 seconds in and no one can convince me this isn’t an SNL skit. Also are we sure Katie Britt isn’t AI?? Brooklyn & Rideway deserve answers.
Katie Britt is freaking me out right now. 👀
Seriously, the Katie Britt response is scary as shit. This is like a sci fi movie. This is Handmaid's Tale coming to life.
Katie Britt looks and sounds like a first year acting student giving a self tape audition.
This is so creepy and insincere. Worst acting I’ve ever seen. #KatieBritt #StateOfTheUnion
New medical innovations are constantly hitting the market — but what goes into creating these technologies? Learn the essentials of #ClinicalTrials with Drs. @KristinSainani and @ReginaNuzzo in our self-paced course with @StanfordOnline: online.stanford.edu/courses/som-xc…
I’m told that, in response to my prior tweet, @EliseStefanik deleted her 1/6/21 statement — that those who stormed the Capitol “must be prosecuted to the fullest extent of the law.” Here is Elise’s statement again. Feel free to share. #nomorecrackpots
@acagamic I agree. I will strongly recommend the Prof. @KristinSainani 's brilliant course 👇 to actually learn how to make your text concise and to the point. coursera.org/learn/sciwrite
I completed Writing in the Sciences! Check out my certificate coursera.org/share/002b5f2a… #Coursera Kudos to Dr. @KristinSainani for designing such an interactive course! I highly recommend it.
An achievement I have been able to realize largely due to the support and mentorship of folks like @LaBeaud_Lab, @morde, @KristinSainani, @MicrobeExplorer, and @JasonAndrewsMD! Excited to continue working with such smart scientists to tackle important infectious disease problems.
Good news: You can now watch our Clinical Trials webinar w/Drs. @ReginaNuzzo and @KristinSainani on YouTube. Watch as they dive into case studies of real trials and discuss what they did well, what they got wrong, and how they could have been better. youtu.be/sH0-UEpIwyY?si…
Even better news: You can learn directly from these experts and earn a certificate in our Clinical Trials course on @StanfordOnline. Learn more: online.stanford.edu/courses/som-xc…
Even better news: You can learn directly from these experts and earn a certificate in our Clinical Trials course on @StanfordOnline. Learn more: online.stanford.edu/courses/som-xc… https://t.co/x7EUQB8aIh
Daniël Lakens @lakens
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691 Followers 432 Following PhD Researcher Replication in Sports Science @IrishResearch @WeAreTUDublin. All views my own.CJSM @CJSMonline
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2K Followers 286 Following Assist. Prof. Biostat @EmoryRollins. he/him. machine learning. causal inference. vaccines. data science. all views mine. all math done bored on conference call.Twitter has focused mostly on a very glaring error of using the standard error in place of the standard deviation, but there are many other methodological problems in this recent meta-analysis of psilocybin for depression. bmj.com/content/385/bm…
They claim to be pro business but ban innovation. They claim to be pro life but refuse to ban the AR-15 They claim to be pro freedom but ban abortion The only they are is a bunch of hypocrites.
Pretty sure this is not constitutional.
Trump says that he’ll implement a religious test for immigrants if he is elected: “If you don’t like our religion…then we don’t want you in our country.”
If you are conducting a meta-analysis make sure to TRIPLE check your largest effect sizes. Especially any SMDs over 1. Primary studies are also prone to mistakes and they may misreport SE for SD, miss a decimal place, etc. Don’t always take the reported statistics at face value
New meta-analysis in @bmj_latest about the treatment of depression with psilocybin🍄 Despite its positive conclusions, the authors make the most recurrent errors in meta-analyses Let's see if by pointing them out we can make them less and less frequent🧵 dx.doi.org/10.1136/bmj-20…
Meta-analysis is such a cursed domain. In this case, a top journal lets a standardized effect size of d=4.5 through review without noticing it is based on a misunderstanding of SE vs SD. Not funny I guess by I am laughing
New meta-analysis in @bmj_latest about the treatment of depression with psilocybin🍄 Despite its positive conclusions, the authors make the most recurrent errors in meta-analyses Let's see if by pointing them out we can make them less and less frequent🧵 dx.doi.org/10.1136/bmj-20…
I can now confidently say I've mastered both Python and R and here is what I've learned: As far as data science is concerned, the only thing that matters about a programming language is whether anybody has already written that package you need.
As an Editor, one thing I routinely do (and this is why open science is important) is to go in authors’ codebook and spot check the codings, particularly the largest effect sizes. Time consuming, but critical at preventing some of those obvious mistakes from getting through.
New meta-analysis in @bmj_latest about the treatment of depression with psilocybin🍄 Despite its positive conclusions, the authors make the most recurrent errors in meta-analyses Let's see if by pointing them out we can make them less and less frequent🧵 dx.doi.org/10.1136/bmj-20…
my roman empire is wondering which employee at four seasons total landscaping answered the phone and did not inform the trump campaign that they probably meant to call the four seasons hotel, thus creating an unrivaled hilarious historical moment.
1. It's the 3rd meta-analysis making a "standard error" within a few weeks: the SD was conflated w the SE, leading to absurdly large effect sizes. This should not pass peer review. Here it happened in @bmj_latest. It has open peer-review, so let's see. The other 2 examples ->
Whoa! Meta analysis of psilocybin in the tx of depression. g=1.3. Look at the three studies with super size effects. This is too good to be true, no? bmj.com/content/385/bm…
"We need to slow down scientific publishing," says Elisabeth Bik. english.elpais.com/science-tech/2…
Marseille prosecutor finds no grounds to prosecute Elisabeth Bik after Didier Raoult complaints. x.com/microbiomdiges…
Yay! Three years after @raoult_didier @Pr_Chabriere_E and @IHU_Marseille filed a complaint against me for harassment and blackmail, the Marseille Procureur tells me today they could not find any grounds for criminal prosecution.
It’s so tragic that Kristi Noem didn’t see this important PSA before she did what she did. #Justice4Cricket
As editor of several journals, I’m noticing a large influx of reviews, and less original research. Many of these reviews are unnecessary and have little point of difference to others recently published. Funding is tight, but… we really need more original research driving change.
I found this to be pretty shocking. I failed to replicate a famous finding from 20 years ago, and the paper's editor reprimanded me for even *raising the possibility* that the original authors might have (unknowingly) reported a Type I error.
What’s the most memorable feedback you’ve received on your work?