Skip to main content

Table 3 Regression Analysis for Variables Predicting Refractive Predictive Error

From: Gender differences in refraction prediction error of five formulas for cataract surgery

Formula

Significant Variables

Holladay

AL (−0.08), LT (−0.26), Km (−0.013), AST (− 0.065), WTW (− 0.081), Age (0.0037), Gender (− 0.054)

SRK/T

AL (0.013), LT (− 0.28), Km (0.097), AST (− 0.063), WTW (− 0.086), Age (0.0033), Gender (− 0.055)

Hoffer Q

AL (−0.14), LT (− 0.30), Km (− 0.11), AST (− 0.058), WTW (− 0.083), Age (0.0020), Gender (− 0.068)

Haigis

AL (−0.20), LT (− 0.32), Km (− 0.11), AST (− 0.031), WTW (− 0.084), Age (0.0017), Gender (− 0.077)

Barrett

AL (−0.030), LT (− 0.10), AST (− 0.069), Age (0.0023), Gender (− 0.057)

  1. Coefficients in parentheses