When either ER or PR was included in multivariate prognostic models considering age, grade, tumor size (T) and nodal status (N), hormone receptor status was significantly associated with overall survival.
A regression model considered age, years of training, condition, and patient status.
These models consider age-of-onset and family history of cancer.
a: Adjusted ORs were from the model considering age, gender, insured amount, residential area, and insured unit.
Subsequently, we analyzed the microarray data with a multivariate linear regression model considering age, gender, and disease status (with or without OA) as covariates.
Sub-distribution hazard ratios were calculated using a competing risk regression model considering age and gender as covariates and death before a second cancer a competing risk (Fine and Gray, 1999).
When our analyses were repeated using disease free survival (DFS) in the GEM dataset, ER by immunohistochemistry was significantly associated with DFS (P =.002) in a prognostic model considering age, grade, tumor size (T) and nodal status (N); however, PR was not (P =.151) when included in the model (without ER).
The presented battery model considers aging effects and is a useful tool for the design of an electric vehicle, for the dimensioning of a battery system depending on climate and user behavior, as well as for cost calculations.
Our model considers age-dependent contact patterns, but does not consider spatial or social structures.
