title: [Identification of risk factors (the method of logistic regression)].
abstract: Logistic regression is a model used for prediction of an event (e.g. heart attack: yes/no) using several predictor variables whereas the output is confined to values between 0 and 1. The regression coefficients describe the size of the contribution of the risk factor. In this short introduction an example is used to explain the basic principle and the advantages of the logistic regression.
authors: Zentrum für Zahn-, Mund- und Kieferheilkunde der Universität Zürich. martin.sieber@zzmk.uzh.ch
authors: M
authors: M
authors: Sieber
mesh_terms: D000368:Aged; D001943:Breast Neoplasms / Q000139:chemically induced / Q000453:epidemiology; D016001:Confidence Intervals; D005260:Female; D006801:Humans; D016015:Logistic Models; D008297:Male; D008875:Middle Aged; D009203:Myocardial Infarction / Q000453:epidemiology / Q000209:etiology; D016017:Odds Ratio; D012110:Reserpine / Q000009:adverse effects; D012307:Risk Factors
chemical_list: D012110:Reserpine