Causal Bandits Podcast Causal Secrets of N=1 Experiments | Eric Daza S2E3 | CausalBanditsPodcast.com
Mar 31, 2025
In this engaging discussion, biostatistician Eric Daza shares insights from his 22 years of experience in health data science. He delves into the fascinating world of n-of-1 trials, emphasizing how personalized experiments can transform health insights. Eric highlights the challenges of causal inference and the impact of historical treatments on outcomes. He also shares his journey from neurobiology to statistics, his love for sci-fi, and practical tips for conducting effective self-experiments, inspiring a new era in personalized medicine.
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N-of-1 Trials: Personalized Studies
- N-of-1 trials are personalized studies on single individuals.
- They focus on individual responses to interventions, rather than generalizability.
Eric Daza's Causal Journey
- Eric Daza's interest in causal inference stemmed from a course by Mark van der Laan.
- N-of-1 trials resonated with him due to Susan Murphy's work and a loved one's IBS.
Serial Interference: Within-Person Effects
- Serial interference in N-of-1 trials occurs when treatments at one time affect outcomes at another time.
- This is analogous to interference between individuals in group studies but occurs within a person.