Application of principal component analysis and logistic regression model in lupus nephritis patients with clinical hypothyroidism

Table 3 The result of logistic regression analysis

	B	SE	Wals	Sig.	Exp(B)	95% CI of Exp(B)
	B	SE	Wals	Sig.	Exp(B)	lower limit	upper limit
PC₁	−.919	.320	8.249	.004	.399	.213	.747
PC₂	.859	.322	7.100	.008	2.361	1.255	4.442
PC₃	−.238	.260	.838	.360	.788	.473	1.312
PC₄	.203	.230	.783	.376	1.225	.781	1.922
PC₅	−.284	.344	.682	.409	.752	.383	1.478
PC₆	−.128	.353	.131	.717	.880	.440	1.759
PC₇	−.443	.293	2.291	.130	.642	.362	1.140
PC₈	−.111	.411	.073	.787	.895	.400	2.002
PC₉	1.553	.593	6.861	.009	4.724	1.478	15.096
Constant	0.744	.411	3.272	.070	2.105

B regression coefficient, SE standard error, Wals wald test, Sig significance, Exp(B) the exponent of B or relative risk. This is an unadjusted model with all PCs in together. Significant differences are indicated in bold

ISSN: 1471-2288