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In a multifactorial analysis using the data from both reviews [ 15**, 16**], the only factors found to be significant were total mitotic count, continuous pushing margins, and lymphocytic infiltrate (Fig. 2 and 3).
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Potential effect modification (confounding) due to any chance imbalance in pubertal status, age and sex will be counteracted by inclusion of these in a secondary analysis, using a multifactorial regression analysis.
Multifactorial analysis was performed using type III analysis with Weibull hazard model and Cox-proportional hazard model.
'Differential responder' genes were identified using multifactorial analysis of the stable Dali knockdown arrays using limma (Smyth, 2004 ).
Volatile and semi-volatile profiles were correlated with sensory data using multifactorial analysis.
A multifactorial analysis of prognostic factors using a proportional hazards model showed statistically significant differences in survival for subjects in different categories of age at diagnosis, marital status, educational level and clinical extent of disease.
Often the first stages of biomarker screening involves selecting the genes showing the largest and/or most significant fold changes in expression between different experimental groups, and studying the differences in global expression profiles using multifactorial analysis methods such as Principal Component Analysis (PCA) and ANOVA.
A multifactorial analysis of variance was performed using the 2k factorial design, always considering the C4 as the lower level.
The impact of different preprocessing choices is assessed on a real world dataset from direct marketing using a multifactorial analysis of variance on various performance metrics and method parameterisations.
The COX risk ratio model was used for multifactorial analysis on survival, where P < 0.05 had statistical significance.
Data was analysed using a mixed, multifactorial analysis of variance (ANOVA) with repeated measurements.
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