[en] Many factors affect the accuracy and precision of probabilistic assessment. This report discusses sources of uncertainty and ways of addressing them. Techniques for propagating uncertainties in model input parameters through to model prediction are discussed as are various techniques for examining how sensitive and uncertain model predictions are to one or more input parameters. Various statements of confidence which can be made concerning the prediction of a probabilistic assessment are discussed as are several matters of potential regulatory interest. 55 refs