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the claim

Bootstrapping is an acceptable method to determine standard error for binding constants

the verdict
SUPPORTED
the evidence backs this
Recorded sources
2 sources for · 0 against

Counts group repeated records of the same source within each side. They do not measure evidence strength or source independence.

Is it true that bootstrapping is an acceptable method to determine standard error for binding constants?

Yes. Bootstrapping is a recognized and effective resampling method used to accurately determine standard errors and confidence intervals for binding constants.

Verdict: SUPPORTED · 2 sources for, 0 against · Last checked

The analysis

The claim is specific, empirical, and falsifiable. The retrieved papers explicitly support the use of bootstrapping for uncertainty quantification and standard error evaluation in binding constants and protein-binding models.

Evidence for · 2
2022
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Kazmierczak, N. P., Chew, J. A., & Griend, D. A. V. (2022). Bootstrap methods for quantifying the uncertainty of binding constants in the hard modeling of spectrophotometric titration data.. doi.org. https://doi.org/10.1016/j.aca.2022.339834

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More for · 1
2020
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Jun, H., Rong, Y., Yih, C., Ho, J., Cheng, W., & Kiang, T. K. L. (2020). Comparisons of Four Protein-Binding Models Characterizing the Pharmacokinetics of Unbound Phenytoin in Adult Patients Using Non-Linear Mixed-Effects Modeling.. doi.org. https://doi.org/10.1007/s40268-020-00323-2

What does the evidence say?

The claim is specific, empirical, and falsifiable. The retrieved papers explicitly support the use of bootstrapping for uncertainty quantification and standard error evaluation in binding constants and protein-binding models.

Receipt History
first checked31 Jul 2026
judged → SUPPORTED · 7531 Jul 2026
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