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📕 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 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

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