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Pearson correlation and stepwise regression methods were used to examine relationships between AFC and NSMJC (SPSS, version 16.0).
Stepwise regression methods were used to arrive at the final regression model.
Item impact and stepwise regression methods were used to produce each version.
Specifically, simulations have shown that priors can be selected such that the evidence of a correct association is higher for stochastic search methods compared to stepwise regression methods when selecting a model [ 18].
Longitudinal data analyses will be conducted, including the use of life table methods and person-time approaches, and generalized linear models will be developed using backward stepwise regression methods to identify factors associated with various health related outcomes.
In order that we may find some clues to develop an etiological hypothesis for each site of cancer, we obtained the correlation coefficient between the scores of the extracted factors and the variables on food and environmental agent, and performed stepwise regression methods as well.
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Note that linear regression models are estimated based on a stepwise regression method.
The stepwise regression method was used to determine the significant predictors for final visual acuity.
Stepwise regression method was used to determine the significant predictors for final visual acuity.
Stepwise regression method determines the set of factors that most closely determine the dependent variable.
Ten covariables were further analyzed with the Cox regression model by using a backward stepwise regression method.
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