The SURVEYPHREG Procedure

Hazard Ratios

The hazard ratio for a quantitative effect with regression coefficient beta Subscript j Baseline equals bold e prime Subscript j Baseline bold-italic beta is defined as expleft-parenthesis beta Subscript j Baseline right-parenthesis, where bold e Subscript j denotes the jth unit vector. In general, a log-hazard ratio can be written as bold l prime bold-italic beta, a linear combination of the regression coefficients, and the hazard ratio expleft-parenthesis bold l prime bold-italic beta right-parenthesis is obtained by replacing e Subscript j with bold l.

The confidence intervals for hazard ratios are obtained by exponentiating the confidence limits of the corresponding linear combination. Thus, the 100 left-parenthesis 1 minus alpha right-parenthesis confidence limits are

exp left-parenthesis bold e prime Subscript j Baseline ModifyingAbove bold-italic beta With caret plus-or-minus t Subscript d f comma alpha slash 2 Baseline StartRoot bold e prime Subscript j Baseline ModifyingAbove bold upper V With caret left-parenthesis ModifyingAbove bold-italic beta With caret right-parenthesis bold e Subscript j Baseline EndRoot right-parenthesis

where t Subscript d f comma alpha slash 2 is the 100 left-parenthesis 1 minus alpha slash 2 right-parenthesis percentile point of the t distribution with df degrees of freedom. For more information about hazard ratios see the section Hazard Ratios, and for more information about df see the section Degrees of Freedom. If you use the DF=NONE option in the MODEL statement, then the procedure uses the 100 left-parenthesis 1 minus alpha slash 2 right-parenthesis percentile point of the standard normal distribution.

Last updated: December 09, 2022