The Application of Parametric Models for the Evaluation of the Risk for Cardiac Death in Patients with Stable Angina Pectoris
In this paper are presented parametric regression models of the survival function for patients with stable angina pectoris, and, on the basis of this model was developed the algorithm for the stratification of patients into the low, medium, and high risk groups. The survival function model chosen for the analysis of survival was Veibul’s distribution with parameters, dependent on eliminal, demografic, electrocardiagrafic, angiografic data. Two survival models were created: I model - was developed using the data from the patient’s obtained only during the initial examination (the regression model with constant covariates), and II model – included information about interventional treatment, during follow-up (model with the time-dependent covariate). Bib. 8 (in English; summaries in Lithuanian, English and Russian).
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