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Finally, the use of ordinary linear regression and unadjusted estimation can be considered.
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Generalized linear models are an extension of ordinary linear regressions.
These parameters are in many ways equivalent to the regression coefficients of ordinary linear regression.
However, due to the large number of miRNAs compared to the sample size and the existing collinearities amongst the covariates (miRNAs) it is impossible to use an ordinary linear regression model.
Traditional feedback control theory makes use of linear ordinary differential equations to analyze problems, as in Watt's flying-ball governor.
Within the knee rOA group and the symptomatic knee rOA subgroup, associations between SES variables with each of the WOMAC outcome scores were calculated using ordinary linear regression (OLR).
Effects of age on HADS anxiety and depression, as well as the effects of anxiety and depression on each other, were analysed using ordinary linear regression.
The first two (binary) outcomes were analysed using Generalized Linear Modelling with a binomial outcome; the latter two outcomes were analysed using ordinary linear regression with transformations.
Univariate associations of cofactors with log transformed health care costs were assessed using ordinary linear regression.
We considered the influence on ACD of all variables-both individually and in combination-at 1 ha resolution using correlation and ordinary linear regression analyses with the R programming language (v.9.2, R Development Core Team 2009).
The linear mixed model is an extension of the ordinary linear model by random effects [ 33].
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