Breast cancer example 19 loglogs for the stomach

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Unformatted text preview: the stomach cancer example, where survivor curves crossed: 20 Testing the proportional hazards assumption The proportional hazards assumption is that the ratio of hazards is a constant that does not depend on time: h A (t ) = r. h B (t ) When this assumption fails, it is because the hazard ratio changes over time. To test this, add predictor for group*time interaction. Evidence that group*time interaction is not zero is evidence against proportional hazards. 21 Breast cancer example: groups are positive_stain = 0, 1, response time = surv_months. group*time interaction: positive_stain * surv_months? Interaction combines response and predictor! Predictors that change with time are defined inside PHreg not in a DATA step. Proc PHreg data=breast_cancer; class positive_stain; model surv_months * died(0) = positive_stain PS_time / risklimits ties=efron; PS_time = positive_stain * surv_months; 22 Breast cancer example: Parameter Standard DF Estimate Error Chi-Square Pr > ChiSq positive_stain 0 1 -1.88112 0.98093 3.6775 0.0551 PS_time 1 -0.01371 0.01070 1.6...
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This note was uploaded on 11/21/2011 for the course PUBH 6470 taught by Professor Williamthomas during the Fall '11 term at University of Florida.

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