Table 2

Simple and stepwise regression analysis of the relations between the extent of PDGF β receptor tyrosyl phosphorylation and clinical variables

Clinical variables	β	SE	Std coeff	F value	p value
Simple regression analysis
Male sex	0.447	0.234	0.246	3.669	NS
Age	−0.030	0.009	−0.419	11.736	0.0012
Restenosis lesion	−0.259	0.203	−0.166	1.624	NS
Diabetes mellitus	−0.295	0.211	−0.183	−1.402	NS
Tobacco use	0.428	0.202	0.269	4.459	0.0391
Unstable angina	0.816	0.188	0.499	18.893	< 0.0001
Family history of coronary artery disease	0.327	0.260	0.165	1.590	NS
Serum cholesterol (mg/dl)	−0.006	−0.003	−0.279	4.148	0.0471
Obesity (> 20% ideal weight)	0.014	0.219	0.008	0.004	NS
Hypertension	0.056	0.206	0.036	0.073	NS
Stepwise regression analysis (F value = 12.14, p < 0.0001)
Unstable angina	0.760	0.169	0.535	20.099
Serum cholesterol (mg/dl)	−0.005	0.003	−0.241	4.097

For the simple regression analysis of PDGF β receptor tyrosyl phosphorylation: tyrosyl phosphorylation (arbitrary units) = intercept + (variable × β).
Intercept = 1.595; adjusted R² = 0.317.
β, β coefficient for linear regression model; SE, standard error; Std coeff, standardised regression coefficient.