Abstract There are famous examples of acute sensitivity of optimal parametric procedures to a slight discrepancy from the assumed model. The non parametric approach may also suffer from this kind of deficiency, so that robust procedures (for test and estimation) which are optimal in a neighborhood of a parametric model are to be preferred. This general concept is applied here to survival data analysis.