Goodness of fit measures
REGRESSION, SWEENEY
We calculated a series of goodness of fit measures to assess the performance of the mapping algorithms. For the external validation, these indicators were computed based on the entire sample, while for the internal validation only the validation sample was used. The correlation coefficient, plots of predicted versus observed values, and the Linear regression analysis was carried out, using the validation dataset, to determine the relationship between the results of the “best” performing algorithms using the CYPHP cohort and the mappings previously defined by Sweeney et al. Finally, goodness of fit measures were computed for the CYPHP “best” performing algorithm, with and without including selected demographic variables to better understand their explanatory power.SAS version 9.4, IBM SPSS Statistics 27 and STATA v16 (StataCorp LP, College Station, Texas, USA) were used for analyses. We followed the Professional Society for Health Economics and Outcomes Research (ISPOR) good practice recommendations for mapping health-state utility from non-preference-based outcome measures [