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CrossLabFit: A novel framework for integrating qualitative and quantitative data across multiple labs for model calibration

Fig 7

Parameter distribution and likelihood profiles for influenza model.

Panel (a) shows violin plots illustrating the variability and density of the estimated parameters β, , p, and r derived from 1000 bootstrap resamples across the two data integration strategies. The width of each violin indicates the sample density at different values. Dashed lines within each violin represent the median and interquartile range. Panels (b)-(e) show likelihood profiles for four parameters in the influenza model (β, , p, and r), comparing two data integration strategies ( the standard and our CrossLabFit approaches) to assess parameter identifiability. The stars indicate the median values from the parameter distributions obtained via bootstrapping, with colors corresponding to the respective approach.

doi: https://doi.org/10.1371/journal.pcbi.1013704.g007