3 papers
stat.ME2026
A closed-form sample size correction for always-valid inference with optional stopping
MÃ¥rten Schultzberg
Sequential tests that allow continuous monitoring are common in A/B experimentation. Power calculations for these tests require simulations that are hard to scale across many metri…
stat.ME2026
Nobody Puts Bonferroni in a Corner
MÃ¥rten Schultzberg
We argue that Bonferroni correction is a better choice for online experimentation than it is commonly given credit for. The case rests on four considerations. First, it is the simp…
math.ST2024
Precision-based designs for sequential randomized experiments
Mattias Nordin, MÃ¥rten Schultzberg
In this paper, we consider an experimental setting where units enter the experiment sequentially. Our goal is to form stopping rules which lead to estimators of treatment effects w…