Model proporcjonalnego hazardu Coxa jako statystyczna metoda wyznaczania determinant jakości życia w grupie chorych leczonych onkologicznie
Cox Proportional Hazards Model as a Statistical Method for Identifying the Determinants of Quality of Life of Oncology Patients

Summary/Abstract: An integral feature of the information society is its interest in various aspects of quality of life. There are many methods, including statistical, for identifying and evaluating the impact of those factors (features) which influence quality of life.The study considers the possibility of using the Cox model of proportional intensity for this purpose. Use was made of a variant of the model describing the phenomenon in which adverse events occur in disjointed time intervals. Using Kalbfleische'a-Prentice estimators the survival functions S (x, t) and the risk of h (x, t) were determined for the tested units differentiated by endogenous and exogenous features.These functions were estimated based upon the results of treatment of a group of patients suf-fering from cancer. Research was carried out into the direct influence of demographic, social and economic characteristics on the results of the therapy and indirectly on the quality of life.

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