论文信息 - A visual tool for defining reproducibility and replicability

A visual tool for defining reproducibility and replicability

Reproducibility and replicability are fundamental requirements of scientific studies. Disagreements over universal definitions for these terms have affected the interpretation of large-scale replication attempts. We provide a visual tool for representing definitions and use it to re-examine these attempts.

[1] Michael C. Frank,et al. Estimating the reproducibility of psychological science , 2015, Science.

[2] G. K. Bhattacharyya,et al. Statistics: Principles and Methods , 1994 .

[3] C. Begley,et al. Drug development: Raise standards for preclinical cancer research , 2012, Nature.

[4] K. Coombes,et al. Deriving chemosensitivity from cell lines: Forensic bioinformatics and reproducible research in high-throughput biology , 2009, 1010.1092.

[5] Timothy D. Wilson,et al. Comment on “Estimating the reproducibility of psychological science” , 2016, Science.

[6] Donald A. Wilson,et al. ApoE-Directed Therapeutics Rapidly Clear β-Amyloid and Reverse Deficits in AD Mouse Models , 2012, Science.

[7] Galit Shmueli,et al. Clarifying the terminology that describes scientific reproducibility , 2015, Nature Methods.

[8] Reginald B. Adams,et al. Many Labs 2: Investigating Variation in Replicability Across Sample and Setting , 2018 .

[9] Yoav Benjamini,et al. Deciding whether follow-up studies have replicated findings in a preliminary large-scale omics study , 2013, Proceedings of the National Academy of Sciences.

[10] Daniele Fanelli,et al. Opinion: Is science really facing a reproducibility crisis, and do we need it to? , 2018, Proceedings of the National Academy of Sciences.

[11] Richard A. Johnson,et al. Statistics: Principles and Methods , 1985 .

[12] R. Peng. Reproducible Research in Computational Science , 2011, Science.