It may well be that future methods adjusting for these biases change the number of positively selected coding regions, invalidating this first conclusion.
Associations between multimorbid groups and direct healthcare costs were compared with their respective single disease groups using linear regression methods, adjusting for age, gender and deprivation.
Comparisons between groups for continuous variables were performed using two-sample t tests and regression methods, adjusting for the baseline value of the variable.
Analysis of mean QALY per group, and differences between groups will be undertaken using regression based methods, adjusting for baseline EQ-5D-5L, and using covariates as the main statistical analyses on effectiveness.
Sensitivity analyses were conducted for worse eye and average eye by actual value and change from baseline in the ITT population with missing values imputed using multiple imputation methods, adjusting for baseline and without adjusting for investigator.
Association between nPEP use at the previous visit, willingness and the sexual risk behavior outcome SDUA used logistic regression with GEE methods, adjusting for site, study visit, education and race/ethnicity.
