Sentence examples for models for effect from inspiring English sources

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.

Linear probability models for effect of PBF on reported diarrhea, fever and/or symptoms of ARI, and facility care-seeking, differentiated by poverty.

Linear probability models for effect of PBF on reported diarrhea and/or fever, facility care-seeking, and treatment received, differentiated by poverty.

Given prior evidence (Becklake and Kauffman 1999; Delfino et al. 1998, 2002, 2006), we further tested models for effect modification by sex and by asthma controller medications using product terms with each air pollutant.

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.

This again suggests that the current models for effecting clinical practice behavior change do not go far enough in identifying significant levers for change.

Results of model for effect of variables on context-dependent mutation rates of focal nucleotide.

Fixed effects models assume that the same underlying effect is present in all studies, whereas random effects models allow for effect sizes to be different.