All models used mean centred data, computed a default of 15 factors, and used full cross-validation.
The models used mean EDF and an indicator variable for a high EDB (in the highest tertile), since the distribution of EDB was highly skewed.
This optimization problem is modeled using mean variance portfolio theory, considering spot market, bilateral contracts as electricity trading options.
The 3D scatter diagram in Fig. 3 appears that it can be modeled using mean linear regression model (3) for the CO2 emission per capita related with the ln(GDP) and ln(E.C).
The Model using mean exposure across visits as a summary and random intercepts from the Two stage mixed effects model use repeated measures that can more powerfully detect such an effect than any single measurement model, e.g. the Multiple logistic regression model and the Parallel cross-sectional logistic regression models, regardless of the number of exposure measurements available.
A two-stage approach can relax the assumption for the Model using mean exposure across visits as a summary or the Model using maximum exposure value across visits as summary, that the longitudinal trend is irrelevant in terms of detecting the association between X and Y.
This method resembles the Model using mean exposure across visits as a summary, except now we regress the binary variable on the maximum, rather than the average, of the continuous variable: where and is defined as the vector of covariates at the visit of which the continuous variable assumes its maximum value for subject i.
Distributions of 157 bird species were modelled using means and seasonality of temperature and precipitation representing either weather (three, six and twelve month values immediately preceding date of a bird sighting) or climate (30 year average representing 1961 1990).
Patient data was modeled using means and SDs reported by Cleeland, et al. [ 1].
