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Table 3 Best fitting models for predicting EQ-5D-5L from CLDQ-NASH and the cross-validation results

From: Cross-walk of the Chronic Liver Disease Questionnaire for Nonalcoholic Steatohepatitis (CLDQ-NASH) and the EuroQol EQ-5D-5L in patients with NASH

Model

Description

Statistical model

Overall RMSE

Lower RMSE

Middle RMSE

Upper RMSE

Obese RMSE

Non-obese RMSE

T2D RMSE

Non-T2D RMSE

Mean

Benchmark

Constant model

0.1980

0.9164

0.5756

0.1372

0.2111

0.1602

0.2143

0.1756

GLM family (Gaussian)

Best model using overall CLDQ-NASH score as independent variables

GLM with gaussian family and power link (power -0.3), cubic splines with 3 knots

0.1455

0.7644

0.3517

0.1146

0.1505

0.1318

0.1583

0.1249

Fractional logistic

Best model using the CLDQ-NASH domains as independent variables

Fractional logistic, cubic splines with 3 knots

0.1452

0.7698

0.3477

0.1149

0.1533

0.1221

0.1585

0.1242

  1. CLDQ-NASH Chronic Liver Disease Questionnaire – Nonalcoholic Steatohepatitis, GLM generalized linear model, RMSE root-mean squared error, T2D type 2 diabetes