Here you’ll find posts about my research, thoughts on science, and things I’ve written elsewhere.
Traditional churn models often overthink the problem. This post presents a simple Empirical Bayes approach that estimates user-specific activity rates, naturally handles multiple comparisons through shrinkage, and directly answers the business question: who needs intervention now?
Hierarchical resampling provides exact statistical tests for nested experimental designs by combining bootstrap resampling within experimental units with permutation testing at the randomization level. This approach maintains Type I error control while using all available information, unlike traditional methods that either pool inappropriately or discard useful data.
A guide to planning scientific projects and asking the right research questions during your PhD, based on insights from my piece for New Science on strategic research planning. Check out the full article here.