Statistical analyses.
infection, infections
SARS-COV-2 INFECTION, PBC, EVENT, INFECTIONS, INFECTION, REGRESSION
Analyses were performed in R version 4.1.2 (PBC, Boston, MA, USA). We compared characteristics between randomization groups using the Wilcoxon rank sum test for continuous variables and chi-squared test for categorical variables. Endpoints were any SARS-CoV-2 infection or asymptomatic, mild (further subdivided into very mild and mild), or moderate infection; only the first infection per participant was included. The occurrence of endpoints in the randomization groups was modeled using (multinomial) logistic regression for cumulative incidence and Cox proportional hazards models for time to first event (the latter including infections that could be dated only). All models were first run unadjusted, followed by adjustment for potential confounders. Randomization group was forced into the multivariable models, and potential confounders were selected using a backward stepwise approach using the Akaike information criterion (