Table 3.

Invasive female breast cancers (n = 4935): main effects logistic regression with random intercept

Fixed effects	B 0	p value	Odds ratio	Adjusted predictions
Outcome: late stage
Intercept	0.14	0.318
Age category (reference: 21–46)		All: <0.0001
21–46	Ref	Ref	1.00	50.1
47–52	−0.32	<0.001	0.72	42.2
53–59	−0.39	<0.001	0.68	40.5
65+	−0.50	<0.001	0.61	38.1
Year of rating (reference: 2008–2012)		All: 0.0745
2008–2012	Ref	Ref	1.00	42.2
2004–2007	0.13	0.062	1.14	45.4
2000–2003	−0.03	0.696	0.97	41.6
Race/ethnicity (reference: White)		All: 0.0039
White	Ref	Ref	1.00	40.8
Black	0.28	0.001	1.32	47.4
Other	0.16	0.262	1.17	44.5
Hispanic	0.24	0.117	1.27	46.5
Insured (reference: no insurance)		All: <0.0001
No insurance	Ref	Ref	1.00	49.8
Medicaid	0.22	0.227	1.24	55.1
Other insured	−0.32	0.011	0.73	42.0
Disadvantage score (per unit increase)	0.0082	0.052	1.0082
At −8.0 [Q1]				41.0
At −5.3 [Q2]				41.5
At −0.6 [Q3]				42.4
At 13.1[Q4]				45.1
Standard deviation of random intercept	∼0

Likelihood ratio test comparing this model vs. nested logistic regression without random intercept was not significant, p = 1.000