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As a final consideration, the results of the structural equation analysis not corrected for the PCB effect are compared to the results obtained using standard multiple regression analysis.
A second analysis using standard multiple regression was conducted to determine how tenderness and pain, uniquely and together, predicted total pain site scores in the FM and RA/SLE groups separately.
Concurrently, PrS was modeled using standard multiple regression models, with goodness of fit estimated by AIC and R. In total, we estimated the AIC, AUC, and R of 364 different models from a round robin of three explanatory variables.
The appropriateness of the logarithmic dose response model for the effect of the two mercury biomarkers on the neurobehavioral outcomes has been carefully investigated using standard multiple regression methods (Budtz-Jørgensen et al., 1999, unpublished results).
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The authors then used standard multiple regression (ordinary least squared) modelling in order to isolate the role that each of the admissions variables plays in influencing the achievement of students in the first three to four years of the degree.
Associations between cortisol responses to laboratory stress and cortisol over the day were analysed using standard multiple linear regression, regressing laboratory cortisol AUCi on the three diurnal cortisol parameters (AUCday, CAR, and slope) in separate models.
Standard multiple regression was used to determine predictors of Stroop performance.
Standard multiple regression was used to predict the effects of social and teaching presences on the development of cognitive presence.
Standard multiple regression was used to assess the ability of the DAQ and the PTCI to predict the severity of depression symptoms (BDI).
There is an ongoing debate about using Likert-type data and scales for standard multiple regression analysis.
Ordinal regression was used to confirm the results from the standard multiple regression model.
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