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Table 2 Results of stepwise, linear regression models for changes in VAAE, IOD-VA and stereoacuity for the whole sample (n = 280 cases). The importance (I) of a predictor is the residual sum of squares with the predictor removed from the model, normalized so that the importance values sum to 1. The percentage is the model’s accuracy, defined as the adjusted R2. C: coefficient. Significant p-value (*, p < 0.05). Cells for model terms not contributing significantly to the model’s predictive power are empty. The factors missing from the table, do not contribute to the model. The numbers between parentheses indicate the order of importance in the model for each statistically significant variable.

From: Factors affecting the benefit of glasses alone in treating childhood amblyopia: an analysis of PEDIG data

 

ΔVAAE

10.4%

  

ΔIOD-VA

14.6%

  

ΔStereoacuity (sg/arc) 5.2%

  

Model Term

C

P value

I

C

P value

I

C

P value

I

Intercept

-0.111

0.002*

 

-0.088

0.004*

 

-246.301

0.006*

 

Baseline VA-AE

-0.188

< 0.001*

0.308 (1)

0.336

0.001*

0.187 (2)

318.765

0.016*

0.485 (1)

Baseline IOD-VA

   

-0.571

< 0.001*

0.510 (1)

   

Poor vs. Excellent Compliance

0.283

0.008*

0.210 (2)

0.210

0.210

0.233

0.019*

0.094 (4)

   

Fair vs. Excellent Compliance

0.085

0.191

0.047

0.442

0.094

   

Good vs. Excellent Compliance

0.022

0.575

-0.012

0.756

0.094

   

Baseline spherical equivalent AE

-0.018

0.006*

0.176 (3)

-0.013

0.042*

0.063 (5)

   

Initial Anisometropia

0.024

0.007*

0.175 (4)

0.025

0.002*

0.145 (3)

   

No Tropia vs. Tropia at Distance

-0.045

0.084

0.070

   

-502.335

0.110

0.209

Baseline J45 AE

0.064

0.105

0.062