Sentence examples for primary models are from inspiring English sources

Our outcome of interest is a limited dependent variable and our primary models are linear probability models (LPM) with heteroscedasticity robust standards errors.

In predictive microbiology, the model parameters have been estimated using the sequential two-step modeling (TSM) approach, in which primary models are fitted to the microbial growth data, and then secondary models are fitted to the primary model parameters to represent their dependence with the environmental variables (e.g., temperature).

Three primary models are explored in detail.

The three primary models are disease evaluation, guidance criteria, and risk analysis, which are created by the feedback of clinicians' expert opinions.

After determining the best-fitting mixed-effect polynomial parameterization, two primary models were fit.

Given this assumption, the primary models were adjusted for age alone.

Our primary models were run with three different sets of covariates.

The generated primary models were saved to the local PMM-Lab model database.

Primary models were adjusted for a range of covariates selected as potential confounders based on prior evidence, according to directed acyclic graph theory (Hernán et al. 2002).

For each SNP, two primary models were used to assess association with diabetes and quantitative traits, the linear trend (additive model) on 1df and the general model on 2df.

Our primary models were constructed separately for each city, with season included as a predictor and an effect modifier of other predictors as needed to account for seasonal variation.