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The proposed cutting force model also includes an algorithm for the calculation of the variable entry and exit angles caused by tool run-out and tool deflection.
Several overriding problems with trial design were evident: (i) small trial size, (ii) absence of blinding, (iii) lack of no treatment arms and (iv) highly variable entry criteria, treatments and endpoint definitions leading to trial clinical heterogeneity.
Upon receiving a message, if the variable's current history information contains ϕ in the buffer table, then the system will use the C-State-based CRC method to validate the transmitted message before updating the associated variable entry in the buffer table.
Birth date was used as the origin variable, entry time was defined as age at recruitment.
Selection method for variable entry was largest univariate F-value; F to enter was set at 2.0.
Forward variable entry method was employed.
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To facilitate comparisons, row (variable) entries within panels have been shaded where statistically significant differences exist.
Pearson correlations (and point bi-serial correlations for the dichotomised variables) were calculated between the predictor variables (entry scores and demographics) and the outcome variables.
We constructed a backward stepwise multivariate logistic regression model and the significant level for variables entry the model was set at 0.2 and for removal at 0.4.
In the multivariate analyses, logistic regression models were performed to identify the factors independently associated with the outcome variables (entry threshold P < 0.10).
Then, using the variables that were significant at p-value ≤ 0.25, we constructed a stepwise multivariate linear regression model and the significance level for variables entry the model was set at 0.2 and for removal at 0.4.
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