Anytime-Valid Linear Models and Regression Adjusted Causal Inference in Randomized Experiments — mentioned by gatopingado

Sat, 10 Aug 2024 17:39:30 GMT

This is correct. There's been a lot of interest in e-values and non-parametric confidence sequences in recent literature. It's usually refered to as anytime-valid inference [1]. Evan Miller explored a similar idea in [2]. For some practical examples, see my Python library [3] implementing multinomial and time inhomogeneous Bernoulli / Poisson process tests based in [4]. See [5] for linear models / t-tests. [1] https://arxiv.org/abs/2210.0194 [2] https://www.evanmiller.org/sequential-ab-testing.html [3] https://github.com/assuncaolfi/savvi/ [4] https://openreview.net/forum?id=a4zg0jiuVi [5]…

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Anytime-Valid Linear Models and Regression Adjusted Causal Inference in Randomized Experiments · HackerPapers discussions

Anytime-Valid Linear Models and Regression Adjusted Causal Inference in Randomized Experiments — mentioned by gatopingado