Sentence examples for backward elimination regression analysis from inspiring English sources

Both the forward selection and backward elimination regression analysis produced equivalent results.

The best fitting second order polynomial models were developed using multiple linear regression analysis with backward elimination regression (BER) procedure to remove insignificant factors and interactions from the models.

The associations in the multivariate analysis which were statistically significant (P < 0.05) using a backward elimination regression approach were included in the final results.

We also analyzed our data based on the UK tariff [ 20] using backward elimination regression.

To identify factors independently associated with the response variable, we used backward-elimination multivariate regression analysis with p>0.05 as the defining criteria for exclusion of model terms.

Backward elimination multivariable logistic regression analysis revealed which factors remained significant after adjustment for other variables (Table 2).

To identify the variables that independently predicted susceptibility, we performed an unconditional backward elimination stepwise logistic regression analysis.

Backward elimination stepwise multiple regression analysis revealed that gender, and FEV1 were independent predictors of 6MWD, but FEV1 was more strongly related when DSP applied [DSP, R2 = 0.53, p = 0.02; distance, R2 = 0.45, p < 0.0001].

We used backward elimination multiple linear regression analysis to analyze the relationship between anemia and the three outcome variables in participants with COPD after adjustment for other covariates in the model.

We used Generalized Estimating Equations (GEE) regression[ 36] and backward elimination (Statistical Analysis System (SAS GENMODD procedure [ 37]) to identify the socio-demographic, lifestyle, clinical, psychosocial and environmental correlates of the four study outcomes.

Backward logistic regression analysis was next performed.