Predicting nonresponse to sexual identity question in youth risk behavior surveillance: A machine learning analysis of complex survey data

Non-response was non-random and concentrated among vulnerable groups. Predictive performance was strong, but findings suggest that response patterns to other sensitive survey items play substantial role, with implications for survey design and non-response adjustment.