Consider a Cox proportional hazards model with Surv(Time, St…

Consider a Cox proportional hazards model with Surv(Time, Status) ~ Age + Sex + BMI*Rx Assume we fit two versions of the model. The first uses the raw values for Age and BMI while the second uses centered values for both. Assume the average age is 50 years old and the average BMI is 25. When comparing the two models, indicate whether the numerical values of the following will be equal or not equal. Age main effect [age] BMI main effect [bmi] Sex main effect [sex] Rx main effect [rx] BMI & Rx interaction [interaction] Model predictions for a specific individual [prediction]

Consider a pair of regression models based on the same covar…

Consider a pair of regression models based on the same covariates with Model A: Surv(Time, Status) ~ Sex + Age + Genotype + Rx Model B: Surv(Time, Status) ~ Sex + Age + Genotype*Rx Considering ONLY the main effects coefficient for each of the covariates below, which estimates will have different interpretations in the two models? Ignore any potential numerical changes in the estimates themselves and focus on the actual meaning of the coefficients. Sex: [q1] Age: [q2] Genotype: [q3] Rx: [q4]