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. 2001 Mar;16(3):150–156. doi: 10.1111/j.1525-1497.2001.00329.x

Table 3.

The Relationship Between Patient-initiated Breast-related Visits in the Year After a Mammogram and Certain Variables*

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.