Amit Chowdhry, MD, PhD
@amitc.bsky.social
GI/Thoracic/CNS Radiation Oncologist at AdventHealth Orlando. URMC MSTP Grad w/ PhD in Statistics. Research interests: Clinical Trials, Meta-Analysis, AI
Reposted by Amit Chowdhry, MD, PhD
Book Review: Causal Inference in Pharmaceutical Statistics. Yixin Fang. Chapman & Hall. 2024, 246 pp. doi.org/10.1093/jrss...
Causal Inference in Pharmaceutical Statistics
The stated objective of this book is to educate the pharmaceutical statistician about causal inference. To this end, the author is very successful. Many in
doi.org
November 11, 2025 at 5:25 PM
Book Review: Causal Inference in Pharmaceutical Statistics. Yixin Fang. Chapman & Hall. 2024, 246 pp. doi.org/10.1093/jrss...
Reposted by Amit Chowdhry, MD, PhD
Book Review: Bayesian Precision Medicine. Peter F Thall. Chapman & Hall 2024, 330 pp. doi.org/10.1093/jrss...
Bayesian Precision Medicine
Bayesian statistical methods are in the process of revolutionizing clinical trials in oncology and all of medicine. This book, written by a world leader in
doi.org
November 11, 2025 at 5:27 PM
Book Review: Bayesian Precision Medicine. Peter F Thall. Chapman & Hall 2024, 330 pp. doi.org/10.1093/jrss...
Reposted by Amit Chowdhry, MD, PhD
Constant sens/spec assumption (see Dawid 1976, Moons and Harrell 2003, Guggenmoos 2000) + pre-test probability scores (eg Wells’) = Information Mismatch
Preprint: arxiv.org/pdf/2503.15382
Preprint: arxiv.org/pdf/2503.15382
arxiv.org
April 20, 2025 at 3:50 PM
Constant sens/spec assumption (see Dawid 1976, Moons and Harrell 2003, Guggenmoos 2000) + pre-test probability scores (eg Wells’) = Information Mismatch
Preprint: arxiv.org/pdf/2503.15382
Preprint: arxiv.org/pdf/2503.15382
Reposted by Amit Chowdhry, MD, PhD
Here’s our new preprint led by graduating URMC MSTP candidate @samweisenthal. There has been previously published work which shows that sensitivity and specificity are not independent of covariates.
doi.org/10.48550/arX...
doi.org/10.48550/arX...
The information mismatch, and how to fix it
We live in unprecedented times in terms of our ability to use evidence to inform medical care. For example, we can perform data-driven post-test probability calculations. However, there is work to do....
doi.org
April 1, 2025 at 12:37 PM
Here’s our new preprint led by graduating URMC MSTP candidate @samweisenthal. There has been previously published work which shows that sensitivity and specificity are not independent of covariates.
doi.org/10.48550/arX...
doi.org/10.48550/arX...
Here’s our new preprint led by graduating URMC MSTP candidate @samweisenthal. There has been previously published work which shows that sensitivity and specificity are not independent of covariates.
doi.org/10.48550/arX...
doi.org/10.48550/arX...
The information mismatch, and how to fix it
We live in unprecedented times in terms of our ability to use evidence to inform medical care. For example, we can perform data-driven post-test probability calculations. However, there is work to do....
doi.org
April 1, 2025 at 12:37 PM
Here’s our new preprint led by graduating URMC MSTP candidate @samweisenthal. There has been previously published work which shows that sensitivity and specificity are not independent of covariates.
doi.org/10.48550/arX...
doi.org/10.48550/arX...
Highly recommend this episode. One of their best
FYI, our Casual Inference podcast is back with Season 6!!
In this week’s episode, @lucystats.bsky.social & I talk about LLMs including how we can and can’t use them for causal inference!
You don’t want to miss it!👇🏼
In this week’s episode, @lucystats.bsky.social & I talk about LLMs including how we can and can’t use them for causal inference!
You don’t want to miss it!👇🏼
🎙️ New Episode! This week @epiellie.bsky.social & @lucystats.bsky.social chat about causal inference assumptions & large language models!
🎧 Listen here: casualinfer.libsyn.com/causal-assum...
🎧 Listen here: casualinfer.libsyn.com/causal-assum...
March 28, 2025 at 11:52 PM
Highly recommend this episode. One of their best
Reposted by Amit Chowdhry, MD, PhD
Having finally arrived at a time in my career with sci papers under review at big journals (many just collaborations but watching them submit & resubmit in ANNOYING portals made worse by AI QA) I think we should just publish in bioRX and journals should request the papers they want. #medsky #cansky
March 23, 2025 at 2:27 PM
Reposted by Amit Chowdhry, MD, PhD
I don't like "machine learning 'builds on' statistics." A machine learning model *is* a statistic.
It's like building a range rover, saying it's a form of rovers, and that rovers "build on" cars.
"Builds on" is a political phrase to sell more range rovers.
It's like building a range rover, saying it's a form of rovers, and that rovers "build on" cars.
"Builds on" is a political phrase to sell more range rovers.
December 21, 2024 at 4:11 AM
I don't like "machine learning 'builds on' statistics." A machine learning model *is* a statistic.
It's like building a range rover, saying it's a form of rovers, and that rovers "build on" cars.
"Builds on" is a political phrase to sell more range rovers.
It's like building a range rover, saying it's a form of rovers, and that rovers "build on" cars.
"Builds on" is a political phrase to sell more range rovers.
Reposted by Amit Chowdhry, MD, PhD
Was recently reminded of David Hand's alternative missing data taxonomy renaming the (in)famous taxonomy MCAR/MAR/MNAR by Donald Rubin to NDD/SDD/UDD. I am not generally a fan of renaming things, but this might be the exception
Source: rss.org.uk/training-eve...
Source: rss.org.uk/training-eve...
November 11, 2024 at 9:13 AM
Was recently reminded of David Hand's alternative missing data taxonomy renaming the (in)famous taxonomy MCAR/MAR/MNAR by Donald Rubin to NDD/SDD/UDD. I am not generally a fan of renaming things, but this might be the exception
Source: rss.org.uk/training-eve...
Source: rss.org.uk/training-eve...