The application of survival analysis to credit risk has received a lot of attention and is the base of many empirical research. Here that analysis has been applied to a sample of Italian corporates working in the metallurgical sector. The survival analysis in the discrete and continuous domains have been compared to the traditional static logit regression. The results have been raised some interesting problems in both life table and dynamic logit regression; in the first case the heterogeneous aggregation of observations can produce difficulties in the interpretation of the metrics of the table; in the second case the treatment of the past observation of bad companies as observation from good companies reduces the accuracy of the model and contributes to obscure the identification of typical patterns to default.