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Kaplan Meier survival analysis estimated the time to treatment discontinuation by the treatment group, Cox proportional hazards regression models identified the variables associated with treatment discontinuation (adjusted for baseline differences between treatment groups), and logistic regression models compared the tolerability profiles of the different treatment groups.
Analysis of variance models compared the nutrient content of the 3 diets.
Among the models compared, the model that contains tree volume had higher predictive power for AGB and total tree biomass.
Subsequent models compared the AI/AN group to each of the individual racial groups: White, Black or African American, Hispanic, Asian, Hawaiian or Pacific Islander, and Other.
Among the H-D models compared, the Michaelis-Menten function had the smallest AIC and RMSE and the largest pseudo R 2. The second best model was the power-law model, while the worst was the hyperbolic function.
Allen et al. have studied some discrete-time SI, SIR, and SIS epidemic models, compared the dynamics of deterministic and stochastic discrete-time epidemic models, and also applied the discrete epidemic model to the spread of rabies [1 3].
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Here, we used three LRTs based on site-specific models comparing the nested models: M1a-M2a, M7-M8 and M8a-M8.
Many iPSC-based disease models compare the effect of mutations in a disease associated gene within the same genetic background.
The models comparing the shorter (≤5 μm) and longer (>5 μm) fibers did not completely resolve this question.
Further, our generalized linear models compare the effects of Genotype, Environment, and Sex within a gene rather than among genes.
Another application of the model compared the results of the model for three different trial cohorts (Lekander et al. [39]).
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