Syed Adil, MD

Duke x3, fan of brains and basketball

[Muhammad Abd-El-Barr MD PhD FAANS @abdelbarrspine]

Attention neurosurgeons doing skull-base cases in low- and low-middle-income countries! One of our residents, @Adil_S_M is studying the current capacities for and challenges in these endeavors.

Please take < 10 minutes to complete this survey: https://t.co/CjCN86ERrw

[Syed Adil, MD @Adil_S_M]

Beyond ecstatic to learn from the best. Welcome home!

PS can't wait to watch Duke basketball together 🔵😈

[Duke Neurosurgery @Dukeneurosurg]

Gerald Grant, MD, an internationally known surgeon-scientist, has been named the new chair of the Duke Department of Neurosurgery, effective April 1, 2022. https://t.co/6cyBYEmjJ4

[Michael Ivan, MD, MBS, FAANS @michaelivanmd]

Stronger together. Many wise words on the past, present, and future of living with #COVID in our society by @drsanjaygupta from @CNN and Mike "Coach K" Krzyzewski of @DukeU, during the #AANS2021 Opening Session. @AANSNeuro #StrongerTogether #Gameisinovertime #positivethinking

[Syed Adil, MD @Adil_S_M]

Hugely appreciate these efforts!! Hope everyone enjoys the hi-res brainstem exploration 🧠 🔎

@Dukeneurosurg

[Frank Yeh @FangChengYeh]

Thanks Duke CIVM and @Adil_S_M, @NeuroscienceNow for allowing me to redistribute the brainstem atlas with DSI Studio.

The "click-and-view" package is available at https://t.co/BhLMpwrFsT

[Frank Willett @WillettNeuro]

Our new study is out today in Nature! We demonstrate a brain-computer interface that can turn thoughts about handwriting into text, enabling a person with paralysis to type 18 words per minute – doubling the prior record. 1/3
https://t.co/l3PaBnm0Uv

[AANS @AANSNeuro]

Mike “Coach K” Krzyzewski brings his widely recognized leadership and experience to the #AANS2021 Opening Session. https://t.co/NCmBtvT6mS

[Syed Adil, MD @Adil_S_M]

This one hits home—for learning both ML and golf

https://t.co/3jYukpdigj

[Journal of Astrological Big Data Ecology @JABDE6]

@PrasoonPratham So basically this

[Syed Adil, MD @Adil_S_M]

@andreashorn_ @NeuroGabriel @leaddbs @simonoxen Thanks for the interest! This is just the pre-print; we will provide the updated download link with the final version of the paper. Looking forward to your thoughts.

[Syed Adil, MD @Adil_S_M]

@MarkZaki24 @RushiSJoshi7 @Ehresman_J @SakibulHuq @ZachAPennington Brutal. Someone's gotta use the @SakibulHuq frailty index on me after that one

(ref: https://t.co/5sU5Jdbi50)

[Syed Adil, MD @Adil_S_M]

Myth #3 (final in this nerdy series): Retrospective studies can never be used to make causal claims.

In fact, there is an entire field of study based on this idea of "causal inference."

[Syed Adil, MD @Adil_S_M]

@RushiSJoshi7 @Ehresman_J @SakibulHuq @ZachAPennington @MarkZaki24 Nevermind forgot @MarkZaki24 was busy applying for consulting jobs. Maybe @SakibulHuq could host a summative webinar instead?

[Syed Adil, MD @Adil_S_M]

@RushiSJoshi7 @Ehresman_J @SakibulHuq @ZachAPennington Cue @MarkZaki24 publishing his insightful Commentary on our groundbreaking work

[Syed Adil, MD @Adil_S_M]

@Ehresman_J @Ehresman_J My pleasure. But only if we use NFTs to fund deep learning on the blockchain

[DG, MD @nrgruski]

The Surgical Intern. #MedTwitter

[Syed Adil, MD @Adil_S_M]

We can only conclude that, *assuming H0 is true*, the probability of seeing the observed data = p. This is not the same as the probability of H0 being false, and does not tell you that HA is true! Can lead to extreme over-interpretation of data, seen ubiquitously (see ref).

[Syed Adil, MD @Adil_S_M]

Myth #2: if p<0.05 and we reject the null hypothesis (H0), the alternative hypothesis (HA) must be true.

See 👇🏽 for one of the most scathing academic rebukes I've ever seen

[Syed Adil, MD @Adil_S_M]

On H0 testing: “a potent but sterile intellectual rake who leaves in his merry path a long train of ravished maidens but no viable scientific offspring.” ☠️
Ref: https://t.co/tHYVKBkWkz

[Syed Adil, MD @Adil_S_M]

Myth #1: Overlapping confidence intervals = statistical insignificance.

Though *non-overlapping* CI’s do = significance, this myth’s twist of logic does not necessarily hold true. Ref: https://t.co/ZCc8TYiPeg

[Syed Adil, MD @Adil_S_M]

Now diving deeper into data science, I'm re-learning core concepts in stats that (sadly) faded while immersed in the clinical lit. Surprised at how often I misunderstood the numbers. So, I'll humbly share some rediscovered myths.