Results 11 to 20 of about 2,474,205 (363)
The assessment of replication success based on relative effect size [PDF]
The Annals of Applied Statistics 2022, Vol. 16, No. 2, 706-720, 2020 Replication studies are increasingly conducted to confirm original findings. However, there is no established standard how to assess replication success and in practice many different approaches are used. The purpose of this paper is to refine and extend
L. Held +2 more
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A new standard for the analysis and design of replication studies [PDF]
Journal of the Royal Statistical Society, Series A, 183, 431-448,
2020, 2018 A new standard is proposed for the evidential assessment of replication studies. The approach combines a specific reverse Bayes technique with prior‐predictive tail probabilities to define replication success.
L. Held
semanticscholar +2 more sources
Statistical physics of self-replication [PDF]
The Journal of Chemical Physics, 2013 Self-replication is a capacity common to every species of living thing, and simple physical intuition dictates that such a process must invariably be fueled by the production of entropy. Here, we undertake to make this intuition rigorous and quantitative by deriving a lower bound for the amount of heat that is produced during a process of self ...
openaire +6 more sources
Replicability in High Dimensional Statistics [PDF]
2024 IEEE 65th Annual Symposium on Foundations of Computer Science (FOCS)119 ...
Hopkins, Max +4 more
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Viewpoint: replication, randomization, and statistics in range research. [PDF]
Journal of Range Management, 1992 Appropriate application of significance tests in statistical analyses requires an explicit statement of hypothesis; a clear definition of the population(s) about which inferences are to be made; and a model, a sampling strategy, an analysis, and an ...
D. Wester
semanticscholar +3 more sources
Identifying Statistical Bias in Dataset Replication [PDF]
arXiv, 2020 Dataset replication is a useful tool for assessing whether improvements in test accuracy on a specific benchmark correspond to improvements in models' ability to generalize reliably. In this work, we present unintuitive yet significant ways in which standard approaches to dataset replication introduce statistical bias, skewing the resulting ...
Engstrom, Logan +5 more
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Survival in the replicator model: Dynamics and statistics
, 2002 Latex, style file: ws-acs.cls (attached). 17 pages including 10 figures in eps format.
Sebastián Bouzat, Damián H. Zanette
openalex +4 more sources
Statistical methods for replicability assessment [PDF]
The Annals of Applied Statistics, 2020 Large-scale replication studies like the Reproducibility Project: Psychology (RP:P) provide invaluable systematic data on scientific replicability, but most analyses and interpretations of the data fail to agree on the definition of "replicability" and disentangle the inexorable consequences of known selection bias from competing explanations.
Hung, Kenneth, Fithian, William
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Publications, replication and statistics in physiology plus two neglected curves
Journal of Physiology, 2021 I was asked to write a short editorial to reflect on my links to The Journal of Physiology and to consider some of the changes in physiology reflected in The Journal.
S. Gandevia
semanticscholar +1 more source
The new normal? Redaction bias in biomedical science
Royal Society Open Science, 2021 A concerning amount of biomedical research is not reproducible. Unreliable results impede empirical progress in medical science, ultimately putting patients at risk.
David Robert Grimes, James Heathers
doaj +1 more source