Provide a 95 CI for the OR Table 13 27 Use of SAS PROC PHREG to perform conditional logistic regression on the breast cancer data One assumption in Table 13 46 is that the log odds ratio of being a case is a linear function of the lifetime acetaminophen intake To check this assumption, a second log...

A 95 CI for OR e c1 e c2 where n discordant p ...

Provide a 95% CI for the OR? Table 13.27 Use of SAS PROC PHREG to perform conditional

Question:

Provide a 95% CI for the OR?

Table 13.27 Use of SAS PROC PHREG to perform conditional logistic regression on the breast cancer data

proc phreg; model cscn*case (0) =tmtl b4a b4b x5 tmtbm bbd b21 b22 b23 dur3 dur4 dur8 curpmh pstpmh sumbmi2a sumbmi3a su

Analysis of Maximum Likelihood Estimates Parameter standard Hazard Variable DF Estimate Error Chi-square Pr > Chisq Rati

One assumption in Table 13.46 is that the log odds ratio of being a case is a linear function of the lifetime acetaminophen intake. To check this assumption, a second logistic regression was run relating disease status to acetaminophen intake in categories using the categories in Table 13.45 with Group A as the reference and Groups B, C, and D denoted by .Iacetam ~300, .Iacetam ~1750, .Iacetam ~4000, respectively (see Table 13.47).

Table 13.46: Logistic Regression relating decrease in GFR of ‰¥ 30% over 11 years vs. lifetime acetaminophen intake/100 (continuous variable)