Sentence examples for using ordinary linear regression from inspiring English sources
These binned data were then regressed, across trials, against five variables using ordinary linear regression: a constant term for effort trials, a constant term for delay trials, the value difference between left and right options, whether the subject chose left or right, and the value of the chosen option.
Univariate associations of cofactors with log transformed health care costs were assessed using ordinary linear regression.
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.
We also repeated the original analysis after removing observations from the May September period in each year and using ordinary linear regression rather than robust regression.
(6) Eventually, proposed models for bilirubin or GGT were constructed by eliminating non-significant predictors (p-value > 0.05) from the omnibus models and exposure effects were estimated using ordinary linear regression.
In stage 1, we used ordinary linear regression to predict transport to a TH center based on the IV and all other exogenous independent variables listed above.
The primary analyses used ordinary linear regression, even for data from multiple visits, as reported in Figures 4, 5, and 7.
In popgen and KORA-F3, SNP dose levels were tested for an association with loge NT-proBNP), using an ordinary loge NT-proBNPion model, adjusing for ane and sex, using Prordinaryor popgen and MACH2QTlinearp://www.sph.umich.edu/csg/abecasis/MACH/) foregression
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.
To forecast the seasonally varying baseline time series of mortality that would be expected when influenza was not at epidemic levels, Serfling (1 ) used an ordinary linear regression model with terms that describe a consistent and cyclic winter rise and summer decline in mortality (harmonic terms).
