Statistical methods for longitudinal study of risk factors in cardiovascular diseases.
The purpose of this paper is to study the risks of developing a cardiovascular disease, under conditions of primary prevention. The risk factors were studied as a synthetic index, representing a linear weighted combination, called by us prognostic index. For the longitudinal study and prediction the multiple regression analysis was used.
D000328:Adult; D002561:Cerebrovascular Disorders / Q000209:etiology*; D006801:Humans; D006937:Hypercholesterolemia / Q000150:complications; D006973:Hypertension / Q000150:complications; D008137:Longitudinal Studies; D008297:Male; D008875:Middle Aged; D009765:Obesity / Q000150:complications; D011379:Prognosis; D012044:Regression Analysis; D012306:Risk; D012383:Romania; D012907:Smoking