Analysis, exposure variable | Model likelihood, df, p value† | Coefficient (SE) | Odds ratios by category‡ |
---|---|---|---|
*There were 103 cases of breast cancer (ICD 9th 174, 175). In Cox regression, cases and controls were matched on age, race (white/non-white), and date of birth within five years. | |||
†Model likelihood is difference in −2 log likelihoods between model with and without covariates; the only covariate in these models was exposure, so the p value of the model serves as a test of significance of the exposure coefficient, and as a test of exposure-response trend. | |||
‡Categories for cumulative exposure are the same as in table 6. | |||
Cumulative exposure | 0.88, 1 df, p = 0.34 | 0.0000049 (0.0000048) | na |
Log cumulative exposure, 20 year lag | 5.69, 1df, p = .01 | 0.084 (0.035) | na |
Categorical cumulative exposure lagged 20 years (quartiles) | 8.69, 4 df, p = 0.07 | na | 1.00, 1.76 (0.91–3.43), 1.77 (0.88–3.56), 1.97 (0.94–4.06), 3.13 (1.42–6.92) |