Risk prediction of chemotherapy-associated toxicity in patients receiving cancer chemotherapy
Prognostic or risk models evaluate the association between an outcome (dependent variable)-such as disease, response, and survival-and one or more predictive or prognostic factors (independent variables). Such models are used for a number of purposes, including to (1) improve our understanding of a disease process, (2) improve the design and analysis of clinical trials, (3) generate risk stratification, (4) assist in comparison of outcome between treatment groups in nonrandomized studies by allowing adjustment for case mix, (5) define risk groups based on prognosis, (6) predict disease outcome more accurately or parsimoniously, and (7) act as a guide for clinical decision making including treatment selection and patient counseling (1). In general, there are two major types of models depending upon the purpose of the study: 1. explanatory models and 2. predictive models.
