Sentence examples for model specifications to from inspiring English sources

Also tested where two different model specifications to account for the structured heterogeneity arising from the repeated measures experimental design.

The schooling quality production function is estimated under several model specifications to check the sensitivity of the results as shown in Table 2.

It requires established standardised medical information model specifications to ensure interchangeability and reusability of EHRs.

We check model specifications to determine if variables should be transformed using natural logs or if higher order terms should be included.

When the imputation is performed using standard methods that are now available in many packages, with appropriate model specifications to reflect the structure of the data, the resulting MI estimate will be valid (unbiased parameter estimates with nominal confidence interval coverage) if the missing data are 'Missing At Random' (MAR) [ 5].

The validation had two parts: a cross-validation of the original model with our data and a test of the model specification to improve its predictive power for our specific patient population and regimen.

First, following the work of Abebaw and Haile (2013), we included several covariates in logit model specification to reduce bias, which could appear due to omitted variables.

The magnitude of the effect is also quite robust, ranging from 1-21-2% the ACS sample, depending on the age of women and the model specification, to 3-4% in the CPS June Fertility Supplement.

Weather conditions are expectedly correlated with surface conditions, while visibility and light conditions are partially correlated with time of day, and hence they are not in the model specification to avoid multi-collinearity problems.

Recent trends in quantitative geography have focused on empirical, visual, exploratory and local methods to reveal patterns that can subsequently form part of a model specification to design experiments and test hypotheses.

Leveraging the complementary effects among model assumptions and/or genetic information provides one more possible solution to achieve a better model specification to approach the ideal heritable variation.