Table 5.

Linear regression analysis demonstrating an association between selected demographic and ocular factors to each Corvis ST parameters at the highest concavity moment

	T		DA		PD		R
	SC	P -value${}^a$	SC	P -value${}^a$	SC	P -value${}^a$	SC	P -value${}^a$
Age
Sex (male to female)	0.125	0.001${}^b$
SE	0.086	0.028${}^b$
Km
Ka
CCT		–0.218	$<$ 0.001		0.211	$<$ 0.001${}^b$
IOP	0.135	0.001${}^b$	–0.651	$<$ 0.001${}^b$	–0.241	$<$ 0.001${}^b$	0.189	$<$ 0.001${}^b$
${}^a$Only factors with P $<$ 0.05 in simple linear regression analysis are shown here
${}^b$Denotes factors that remained significant after multiple stepwise linear regression analysis
CCT, central corneal thickness; DA, deformation amplitude; IOP, intraocular pressure; Ka, astigmatic keratometry; Km, mean keratometry; PD, peak distance; R, radius; SC, standardized coefficient; SE, spherical equivalent refraction; T, time of highest concavity