▲ | bigfudge 12 hours ago | |
The idea you should be going after bigger wins than .05 misses the point. The p value is a function of the effect size and the sample size. If you have a big effect you’ll see it even with small data. Completely agree on the Bayesian point though, and the importance of defining the loss function. Getting people used to talking about the strength of the evidence rather than statistical significance is a massive win most of the time. | ||
▲ | travisjungroth 3 hours ago | parent [-] | |
> If you have a big effect you’ll see it even with small data. That’s in line with what I was saying so I’m not sure where I missed the point. P-value a function of effect size, variance and sample size. Bigger wins would be those that have a larger effect and more consistent effect, scaled to the number of users (or just get more users). |