“…A simulation study shows that the proposed test has good properties in terms of both Type I error rate and power. Nysen et al (2016) discuss how to derive estimates for quantiles of interest in a chemical risk assessment study, when the observed (say continuous) distribution suffers from the presence of a spike at zero. These authors discuss cases where this spike is associated to left-censored data, that is to data below the limit of detection.…”