Understand
Science is justly admired as a cumulative process ("standing on the shoulders of giants"), yet scientific knowledge is typically built on a patchwork of research contributions without much coordination.
- This lack of efficiency has specifically been addressed in clinical research by recommendations against avoidable research waste and for living systematic reviews and prospective meta-analysis.
- We propose to further those recommendations with ALL-IN meta-analysis: Anytime Live and Leading INterim meta-analysis.
- ALL-IN provides meta-analysis based on e-values and anytime-valid confidence intervals that can be updated at any time - reanalyzing after each new observation while retaining type-I error and coverage guarantees, live - no need to prespecify the looks, and leading - in the decisions on whether individual studies should be initiated, stopped or expanded, the meta-analysis can be the leading source of information without losing validity to accumulation bias.