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In treatment planning of leukemia patients using radiolabeled anti-CD66 antibodies, this improved model performance and allowed an accurate prediction of biodistribution of the therapeutic agent [14].
We combined categories where this improved model fit, and tested two-way, but not higher-order, interactions.
This improved model fit substantially (AIC = 2,291.5; BIC = 2,316.8; LogLik = –1,141.8), χ²(1) = 39.68, p < .001, which is to be expected because a range of p values in inexactly reported statistical results is less likely to be incongruent than an exactly reported p value.
Compared with the experimental data, it has been proven that this improved model can get good applicability and accuracy.
All gases in this improved model are considered to be real gases as the compressibility factor of gas is utilized.
This improved model will be considered as a baseline for design and scale-up of large-scale HTL reactor.
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This improves model accuracy and robustness simultaneously.
This improves modeling skin cancer trends on long time scales despite the stronger variation in other time scales and the destructive presence of noise.
SNPs were added to this base model and tests performed to examine whether this significantly improved model fit.
This greatly improved model correlation accuracy with only moderate increase in run time.
This significantly improved model fit and is theoretically reasonable.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com