Data and Science with Glen Wright Colopy is a podcast covering critical scientific reasoning, particularly from a data science / machine learning / statistics perspective. Episodes typically focus on understanding of how to be better scientists and critical thinkers for the practical purpose of being a better data scientists. Previously called: ”Pod of Asclepius”
Episodes
Monday Jun 14, 2021
Monday Jun 14, 2021
Interesting in Data Science? Learn Data Science and Statistics from experts as they cover key topics in the field. The Data & Science podcast focusses on teaching data scientists how to think critically in order to solve data analysis problems across various scientific domains.
Eric Daza | N-of-1 Science & Causal Inference | Philosophy of Data Science
Much of our scientific inference revolves around the identification and replication of patterns in data. So what can be done when N=1? Eric Daza gives us a statistician's perspective on the ideas behind N-of-1 studies, its best examples, and strongest critiques.
0:00 - The purpose of N-of-1 & generalizability
3:30 - Successes and challenges in N-of-1
9:30 - A lightbulb moment
18:00 – Anomalies, Compliance, & Recurring Patterns
23:00 – Best Critiques of N-of-1, Safety, Efficacy
41:20 - Causal Inference
54:30 – Increasing the number of data scientists
1:03:30 – Biostatistics’ changing place in data science / statistical thinking
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