In this paper we present a technique for modifying the existing goodness-of-fit test statistics so that they can be applied to loss models in which the available data set is incomplete and is truncated from below. Such left-truncation is often present in loss data when the data are being recorded starting from a fixed amount, and the data below are not recorded at all.