Table 3.
Parameter | β | SE | Incidence Ratio† | 95% Confidence Interval |
---|---|---|---|---|
False-positive outcome | 1.3939 | 0.3051 | 4.03 | 2.97 to 5.47 |
Previous breast symptom | 1.0573 | 0.2540 | 2.88 | 2.23 to 3.71 |
Number of visits before mammogram | 0.6969 | 0.2567 | 2.01 | 1.55 to 2.60 |
Estrogen use | 0.6493 | 0.2209 | 1.91 | 1.53 to 2.39 |
Age at mammogram | −0.0052 | 0.0134 | 0.99 | 0.98 to1.01 |
Poisson regression analysis model also includes family history of breast cancer, previous breast symptom, severity of follow-up recommendation, and history of breast biopsy (none significant).
For example, the incidence ratio gives the ratio of the number of visits in one year after the event by women with false-positive mammogram outcome relative to the number of visits by women with normal mammograms.