Table 4.

Multivariable logistic regression models predicting ineligibility and refusal

Variable		Ineligibility		Refusal
		OR	95% CI	OR	95% CI
Race	White	1.00	–	1.00	–
	AA	1.26	1.00–1.58*	1.79	1.27–2.52***
Gender	Men	1.00	–	1.00	–
	Women	1.77	1.41–2.25	0.939	0.641–1.375
Age	21–48	1.00	–	1.00	–
	49–57	1.21	0.90–1.63	1.08	0.71–1.65
	58–65	1.38	1.02–1.87	1.19	0.78–1.83
	≥65	1.09	0.70–1.70	1.83	0.91–3.66
Insurance	Commercial	1.00	–	1.00	–
	Medicaid	1.64	1.14–2.35***	0.89	0.52–1.55
	Medicare	2.35	1.64–3.36	0.61	0.34–1.09
	Uninsured	2.02	1.38–2.94	0.81	0.44–1.47
Cancer type	Hematologic	1.00		1.00
	Solid tumor	1.19	0.85–1.69	1.92	1.16–3.18**
Study phase	Phase I	1.00		1.00
	Phases II and III	1.66	1.14–2.43**	1.18	0.65–2.13

OR: odds ratio; CI: confidence interval; AA: African-American.

^*p <0.05,

^**p <0.01,

^***p <0.001.