An e-value is the payoff of a $1 bet against the null. Formally: E ≥ 0 with E[E] ≤ 1 if the null is true. Big E = the null lost money = evidence against it. Bonus: e-values multiply across studies and stay valid even if you peek and stop early. The p-value can't do that.
I have few doubts that sequential-anytime valid inference (SAVI) and e-values will reach clinical trials space soon.
What is SAVI and what are e-values? And why should you care?
Canadian Vigour Center (www.thecvc.ca) officially launched the #HEART platform trial, a platform trial for patients living with heart failure. First pilot trial on ketone supplementation to start soon.
A fellowship position is also posted.
www.heartplatform.ca
Book titles everywhere: "Neutral Tones in Interior Design"
Book titles in North America: "Beige: The Color That Conquered the Suburbs, Destroyed Joy, and United a Fractured Republic"
Sequential-anytime valid inference refers to methods that guarantee anytime validity and type I error control even with infinite looks. It is entrenched in Markov's and Ville's inequalities and comes from game theory. Major companies use it (Netflix included).
The assumption that neutral trials in critical care are a peculiar combination of perfectly balanced groups that neutralize themselves is, most if not all of the time, a fairy tale.
Is there an equivalent to the old-forgotten tweetorials in the fancy place here? Is the concept still a thing or am I already the old guy?
The overall concept is simple. In a fair betting game, knowing previous outcomes shouldn't allow you to make better bets in future draws. If it does, the null hypothesis is false.
arxiv.org/abs/2410.23614
Literature is warming up and extending e-values to platform trials seems the logical next step.
This will allow continuous monitoring of clinical trials while controlling type I error.
arxiv.org/abs/2602.06379
arxiv.org/abs/2512.04366
arxiv.org/abs/2606.00878
