bioRxivScientific Communication & EducationPreprint
The logical structure of experiments lays the foundation for a theory of reproducibility
Abstract
The scientific reform movement has proposed openness as a potential remedy to the putative reproducibility or replication crisis. However, the conceptual relationship between openness, replication experiments, and results reproducibility has been obscure. We analyze the logical structure of experiments, define the mathematical notion of idealized experiment, and use this notion to advance a theory of reproducibility. Idealized experiments clearly delineate the concepts of replication and results reproducibility, and capture key differences with precision, allowing us to study the relationship among them. We show how results reproducibility varies as a function of: the elements of an idealized experiment, the true data generating mechanism, and the closeness of the replication experiment to an original experiment. We clarify how openness of experiments is related to designing informative replication experiments and to obtaining reproducible results. With formal backing and evidence, we argue that the current "crisis" reflects inadequate attention to a theoretical understanding of results reproducibility.
Reproducibility ledger
Nobody has reported trying to reproduce this paper yet. Did you replicate an experiment or run the code? Your report saves the next lab a week.
Sign in to file a reproducibility report.
Related papers
- Statistics in service of metascience: Measuring replication distance with reproducibility rate
Erkan O. Buzbas, Berna Devezer·EntropyPeer-reviewed·Oct 5, 2024
- Bridging the gap between formal theory and scientific reform practices
E. O. Buzbas, B. Devezer·bioRxiv·Dec 7, 2022
- A statistical definition for reproducibility and replicability
Prasad Patil, Roger D. Peng, Jeffrey T. Leek·bioRxiv·Jul 29, 2016
- Eliminating accidental deviations to minimize generalization error and maximize replicability: applications in connectomics and genomics
Eric Bridgeford, Shangsi Wang, … Joshua T Vogelstein·bioRxiv·Jul 24, 2021
- Science with no fiction: measuring the veracity of scientific reports by citation analysis
Peter Grabitz, Yuri Lazebnik, … Sean Rife·bioRxiv·Aug 9, 2017
- The case for formal methodology in scientific reform
B. Devezer, D. J. Navarro, … E. O. Buzbas·bioRxiv·Apr 26, 2020