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For example, the data for Samples 1 and 2 have previously been modeled using separate effects for different stimulus types, trial types, and/or mood induction conditions [10], [23], [30].
The occurrence of these AEs was modeled using separate Markov-transition models.
Experimental blocks were modeled using separate regressors, and constant terms for each block were included.
While previously the reference test was presumed to be 100%% sensitive and specific, in Model 4 all S ij and C ij, including those of the reference tests, are modeled using separate bivariate normal distributions as in Equation 1.
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We modeled interactions between temperature and sex or categorical age group (10 24 years and 25 64 years, with ≥ 65 years as the reference category) using separate models.
The flow field is modeled using k ε RNG model.
The SEPIC converter is modeled using average value modeling analysis.
Transformed traits were used as the dependent variable and modeled using linear regression, with age at the time of visit and sex as covariates for each separate trait and for each visit.
Buoyancy effect is modeled using Boussinesq approximation.
A typical cavern unit is numerical modeled using code FLAC.
Tree growth is modeled using phase modulation.
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