Sentence examples for multivariate interaction analysis from inspiring English sources
Multivariate interaction analysis demonstrated a difference in tamoxifen efficacy relative to HMG-CoAR expression (P = 0.05).
A multivariate interaction analysis further demonstrated a statistically significant association between absent YAP1 and an impaired response to tamoxifen (p = 0.042, Table 4).
A multivariate interaction analysis showed that the correlations with prognostic significance of WRAP53 expression in the metastases without and with radiotherapy differed significantly (p = 0.01).
In light of the apparent influence of ER status on the prognostic impact of HMG-CoAR expression, the relationship between ER and HMG-CoAR was examined in a Cox multivariate interaction analysis.
A multivariate interaction analysis showed that the correlations with prognostic significance of radiotherapy differed significantly between the patients having positive WRAP53 and the patients with negative WRAP53 in the metastasis (p = 0.01).
For univariate and multivariate analysis of event rates, as well as interaction analysis, Cox proportional hazard regression was used.
Given the possibility of confounding interactions, multivariate analysis was performed to determine significant, independent predictive factors.
Multivariate Cox analysis of interaction of neoadjuvant chemotherapy, nodal status and BMM positivity in contributing to survival risk is shown in Tables 5 and 6.
Multivariate Cox analysis of interaction of neoadjuvant chemotherapy, nodal status, and BMM positivity showed that the contribution of BMM to disease-specific and overall survival is significant (P = 0.014).
Among the 6800 features analyzed, we found that over one-quarter of all metabolites were significantly associated with age, sex, genotype, or their interactions, and multivariate analysis shows that individual metabolomic profiles are highly predictive of these traits.
A combined effect of genetic and environmental risks will be explored in multivariate regression analysis, and possible interaction between various risk factors will be investigated using quantitative measures of interaction (Rothman and Greenland 1998).
