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đź“• 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:
About The Host
Connect with Alex:
- Alex on the InternetÂ
-  👉🏼 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
Webpages
Causal Bandits Podcast
Causal AI || Causal Machine Learning || Causal Inference & Discovery
Web: https://causalbanditspodcast.com
Connect on LinkedIn: Â https://www.linkedin.com/in/aleksandermolak/
Join Causal Python Weekly: https://causalpython.ioÂ
The Causal Book: https://amzn.to/3QhsRz4
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