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Sex, body mass, tarsus length and hatching order were initially included as covariates into the mixed-effects models for effects of hunger on begging posture, number of calls and acoustic parameters.
These include generation of emissions data, linking of models for different physical compartments as well as to development and application of models for effects and risks.
Logistic regression models were used to test the effect of microsite characteristics on seedling occurrence, and general linear models for effects on seedling height growth and biomass increment.
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For our Bayesian t-test alternative, we compared two models for effect size δ: the null hypothesis that the effect sizes of the mean D-T diff.
This was the basis of defining the final models for effect size estimates and age by treatment interaction analysis (6).
We examined the final multivariate models for effect modification by delivery type (SUVD vs. all other deliveries) by adding an interaction term to the models.
This again suggests that the current models for effecting clinical practice behavior change do not go far enough in identifying significant levers for change.
Linear probability models for effect of PBF on reported diarrhea and/or fever, facility care-seeking, and treatment received, differentiated by poverty.
Linear probability models for effect of PBF on reported diarrhea, fever and/or symptoms of ARI, and facility care-seeking, differentiated by poverty.
Results correspond well with predictions of a previous microstructurally-based model for effects of tissue mechanical deformations on glycosaminoglycan architecture and cartilage hydraulic permeability.
The model for effects on BCS included month of insemination, bST and the interaction.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com