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. 2017 Jun 3;165(1):193–200. doi: 10.1007/s10549-017-4325-2

Table 4.

Likelihood ratio test results comparing Cox-proportional hazards breast cancer risk models for different methods, and combinations of methods, of categorizing family history

Model Goodness of fit Likelihood ratio testb (χdf2), P value
df χ 2*
(a) Binary family history (Yes/No) 1 94.57
(b) No. of relatives with breast cancer (0, 1, ≥ 2) 2 99.29
(c) Type of relative with breast cancer (No, mother, sister, daughter, combination of relatives) 4 99.55
(d) Age of relative at breast cancer diagnosis (No, < 45, ≥ 45) 2 106.41
(e) Family History Score (FHS)a 1 102.42
Combinations
 (a + e) Binary family history added to FHS 2 106.51 χ12 = 4.08, P = 0.04
 (e + a) FHS added to Binary family history χ12 = 11.94, P = 0.0005
 (b + e) No. of relatives with breast cancer added to FHS 3 110.14 χ22 = 7.72, P = 0.02
 (e + b) FHS added to No. of relatives with breast cancer χ12 = 10.86, P = 0.001
 (c + e) Type of relative with breast cancer added to FHS 5 112.74 χ42 = 10.31, P = 0.36
 (e + c) FHS added to Type of relative with breast cancer χ12 = 13.18, P = 0.0003
 (d + e) Age of relative at breast cancer diagnosis added to FHS 3 112.63 χ22 = 10.20, P = 0.006
 (e + d) FHS added to age of relative at breast cancer diagnosis χ12 = 6.22, P = 0.013

*Variation accounted for by adding variables to model already including age at menarche, benign breast disease, oral contraceptive use, parity, age at first birth, breastfeeding, age at menopause, hormone replacement therapy use, physical activity, pre- and post-menopausal body mass index, alcohol intake, smoking status, and socioeconomic status

aTrend across six groups

bTest of improvement to the fit of the model by addition of alternative method for describing family history