Philosophy of Data Science | Jingyi Jessica Li | Advancing Statistical Genomics
Watch it on…. YouTube Podbean
Jingyi Jessica Li (UCLA) describes common statistical pitfalls in genomic data analysis & the statistical reasoning required to correct these mistakes.
Common themes throughout include:
- hypothesis-driven science & critical scientific reasoning over data
- p-values and non-sensical null hypotheses/distributions
- the value of appearing statistically rigorous
- researchers cutting intellectual corners & digging themselves into local minima
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Glen Wright Colopy
DPhil Oxon
The Data & Science Podcast / LifeBell AI
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