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📽️ FREE Online Course on Causality

📕 Causal Inference & Discovery in Python

Causal Secrets of N=1 Experiments

Join me for a one of a kind conversation on the opportunities and challenges of n-of-1 trials, Eric's causal journey, his path into statistics, his love of sci-fi, and how single-subject experiments could reshape personalized medicine.

Video version available here

About The Guest

Dr. Eric J. Daza is a biostatistician and health data scientist with over 22 years of experience (Cornell, UNC Chapel Hill, Stanford). He works at Boehringer Ingelheim. Eric is a creator of Stats-of-1, a health innovation newsletter & podcast on n-of-1 trials, single-case designs, switchback experiments, and personal AI for digital health/medicine.

All views and opinions expressed by Dr. Eric J. Daza represent no one but himself. These views and opinions do not represent the views and opinions of his employer.

Connect with Eric:

Eric on LinkedIn
Eric on BlueSky
Eric's web page

About The Host

Connect with Alex:

Alex on the Internet
👉🏼 Consulting and Causal AI Training For Your Team: hello <at> causalpython.io

Episode Links

Papers

Daza (2018) - "Causal Analysis of Self-tracked Time Series Data Using a Counterfactual Framework for N-of-1 Trials"
Matias, Daza et al (2022) - "What possibly affects nighttime heart rate? Conclusions from N-of-1 observational data"

Books

Asimov, I (1991) - "Foundation"

Apps

StudyU

Webpages

Stats-of-1

Support the show

Causal Bandits Podcast
Causal AI || Causal Machine Learning || Causal Inference & Discovery
Web: https://causalbanditspodcast.com

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