The More Data You Have, The Further You Are From The Truth

Dr Pavlos Msaouel: https://faculty.mdanderson.org/profil...
Produced by ‪@chubbyemu‬
Audio only version: https://spotifyanchor-web.app.link/e/...
0:00 Pretext and context MD Anderson Cancer Center
1:42 The Early Experiences That Shaped Dr Msaouel
3:39 The System of Cancer Research In the United States
5:25 FDA Drug Approvals and Special Designations For Oncology
11:09 A trade-off in our current system
12:35 Whoops 😞 I misspoke
14:35 Randomized trials are not supposed to be representative of a population
18:10 Inference for the treatment of Katie Coleman (metastatic oncocytoma)
25:12 It is much more valuable to refute hypotheses than to confirm them
28:05 All Models Are Wrong, But Some Are Useful
30:05 Recasting the Bias-Variance Trade-off as the Patient Relevance-Robustness Trade-off
33:38 High Relevance, Low Robustness: Subjective Bayes
34:46 High Robustness, Low Relevance: Pure Randomization
41:47 Signal To Noise Ratio
45:49 The Big Data Paradox
53:41 How the Big Data Paradox fits in with Katie Coleman's case
54:33 How the Big Data Paradox fits in with other branches of medicine
57:54 How do we rectify subjectivity in The Truth?
01:00:43 How do we address the problems introduced by the Big Data Paradox?
01:04:21 Duality in nature and a Twitter argument re: the Evidence-Based Deep Medicine Iceberg
01:07:03 Why the ideas coming from MD Anderson are coming from MD Anderson
01:09:39 Where you can find Dr Msaouel

Dr Msaouel:   / pavlosmsaouel  
Heme Review:   / hemereview  


Production Assistant: Nick Brown
Secret channel: ‪@BigEmus‬

Cancer Patient Speaks With Her Oncologist ►    • Kidney Cancer Patient Speaks Candidly With...  
A Woman Had A Headache Lasting 3 Days (Katie's case) ► https://www.youtu.be/i9fLEvgZzRE

References:

Stephen Senn. Statistical Issues in Drug Development.

Why representativeness should be avoided. https://academic.oup.com/ije/article/...

Commentary: Representativeness is usually not necessary and often should be avoided. https://academic.oup.com/ije/article/...

Impervious to Randomness: Confounding and Selection Biases in Randomized Clinical Trials. https://www.tandfonline.com/doi/full/...

A Causal Framework for Making Individualized Treatment Decisions in Oncology. https://www.mdpi.com/2072-6694/14/16/...

Causal Diagram Techniques for Urologic Oncology Research. https://www.sciencedirect.com/science...

Causal inference and the data-fusion problem.
https://www.pnas.org/doi/10.1073/pnas...

Causal Inference: What If. Miguel A Hernán and James M. Robins. https://www.hsph.harvard.edu/miguel-h...

There is Individualized Treatment. Why Not Individualized Inference? https://arxiv.org/abs/1510.08539

Unrepresentative big surveys significantly overestimated US vaccine uptake. https://www.nature.com/articles/s4158...

Unrepresentative Big Surveys Significantly Overestimate US Uptake https://arxiv.org/pdf/2106.05818.pdf

Statistical Modeling: The Three Cultures. https://hdsr.mitpress.mit.edu/pub/uo4...

How “centaur AI” will radically reshape the future of healthcare. https://bigthink.com/health/how-centa...