Prognostic factors in cutaneous melanoma are commonly evaluated by the Cox proportional hazard model. However, the interpretation of the effect of multiple variables is not straightforward. Classification and Regression Trees Analysis (CART), which allows a more friendly data evaluation, could be a valid integration of the message from Cox model.

Melanoma survival with classification and regression trees analysis: a complement for the communication of prognosis to patients / Mancini, Silvia; Crocetti, Emanuele; Bucchi, Lauro; Pimpinelli, Nicola; Vattiato, Rosa; Giuliani, Orietta; Ravaioli, Alessandra; Baldacchini, Flavia; Balducci, Chiara; Stanganelli, Ignazio; Falcini, Fabio. - In: GIORNALE ITALIANO DI DERMATOLOGIA E VENEREOLOGIA. - ISSN 1827-1820. - (2019). [10.23736/S0392-0488.19.06402-2]

Melanoma survival with classification and regression trees analysis: a complement for the communication of prognosis to patients

Stanganelli, Ignazio;
2019-01-01

Abstract

Prognostic factors in cutaneous melanoma are commonly evaluated by the Cox proportional hazard model. However, the interpretation of the effect of multiple variables is not straightforward. Classification and Regression Trees Analysis (CART), which allows a more friendly data evaluation, could be a valid integration of the message from Cox model.
2019
Melanoma survival with classification and regression trees analysis: a complement for the communication of prognosis to patients / Mancini, Silvia; Crocetti, Emanuele; Bucchi, Lauro; Pimpinelli, Nicola; Vattiato, Rosa; Giuliani, Orietta; Ravaioli, Alessandra; Baldacchini, Flavia; Balducci, Chiara; Stanganelli, Ignazio; Falcini, Fabio. - In: GIORNALE ITALIANO DI DERMATOLOGIA E VENEREOLOGIA. - ISSN 1827-1820. - (2019). [10.23736/S0392-0488.19.06402-2]
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11381/2868778
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