Table 3

Statistically significant effects from multiple regression and binary logistic regression analyses

Dependent variable	Independent variable	Device model	P value	Effect size
Bias	Ref. s_pO₂	AM801	0.014	−0.111 (−0.198 to −0.023)
		MD300C19	<0.001	−0.255 (−0.355 to −0.156)
		PC-60F	<0.001	−0.210 (−0.571 to 0.152)
FP likelihood	Ref. s_pO₂	AM801	<0.001	0.369 (0.210 to 0.650)
		CMS50D	<0.001	0.616 (0.485 to 0.783)
		PC-60F	0.043	0.666 (0.449 to 0.987)
FN likelihood	Ref. s_pO₂	AM801	0.045	22.05 (1.068 to 455.1)
Bias	FSP score	MD300C19	0.020	−0.428 (−0.788 to −0.068)
Bias	FSP score	MD300C29	0.001	−0.886 (−1.412 to −0.360)
Bias	PAD status	MD300C29	0.011	−2.010 (−3.456 to −0.474)
Bias	PAD status	PC-60F	0.028	1.143 (0.126 to 2.160)
Bias	Smoking status	MD300C19	0.018	1.451 (0.255 to 2.646)

The p value and coefficient is reported for each significant effect. 95% CIs are shown in parentheses after the effect size values. Where the dependent variable is bias effect size is given by the multiple regression coefficient, where is is FN or FP likelihood effect size is given by the OR.
FN, false negative; FP, false positive; FSP, Fitzpatrick Skin Pigmentation; PAD, peripheral arterial disease; spO2, oxygen saturation.