Mapping from VitiQoL
Vitiligo
REGRESSION, VITILIGO
The results for VitiQoL were broadly similar between models, however the ‘best’ fitting model was considered to be the BLM (M3) using the TVS (Alava) (Table Observed vs Predicted Mean Utilities (Forest Plot). M1: Linear Model; M2: Linear Multivariate Model; M3: Bayesian Linear Model ; M4: Linear Model; M5: Non-Linear Model; M6: Polynomial Model (VNS M6: Polynomial regression of orders 4, RPS M6: Polynomial regression of orders 3); L95% CL: Lower 95% Confidence Level; U95% CL: Upper 95% Confidence Level; VNS: Vitiligo Noticeability Scale; RPS: Re-pigmentation ScoreDistribution of Differences in Predicted vs Observed Utility Values. M3: Bayesian Linear Model ; M6: Polynomial Model (VNS M6: Polynomial regression of orders 4, RPS M6: Polynomial regression of orders 3)
