Articles | Volume 19, issue 20
https://doi.org/10.5194/amt-19-6699-2026
https://doi.org/10.5194/amt-19-6699-2026
Research article
 | 
23 Oct 2026
Research article |  | 23 Oct 2026

Survival-analysis methods for droplet-freezing data: Kaplan–Meier confidence intervals and non-parametric curve comparison

Thomas F. Whale, Trystan Surawy-Stepney, and Sarah L. Barr

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Cited articles

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Budke, C. and Koop, T.: BINARY: an optical freezing array for assessing temperature and time dependence of heterogeneous ice nucleation, Atmos. Meas. Tech., 8, 689–703, https://doi.org/10.5194/amt-8-689-2015, 2015. 
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Short summary
Droplet-freezing experiments help us study substances that trigger ice formation in the atmosphere, but existing ways to show uncertainty or compare results are lacking. We adapt confidence intervals used in medical time-to-even studies, then test them using realistic simulations. They work well across most of the freezing range, though less well at its limits. We also compare tests for differences between curves and show that the best choice depends on how the curves differ.
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