Comparison of the logistic and Cox regression models when outcome is determined in all patients after a fixed period of time.
This paper presents an evaluation of the logistic and Cox regression models for a prospective study when the outcome is binary and is determined in all patients after a fixed period of time. The similarities and differences between the regression coefficients and test statistics are given for the two-sample case. Extension of results to the multivariate case and under product binomial sampling are discussed. The results are illustrated using data from a clinical trial designed to evaluate the effect of a lipid lowering drug on progression of coronary artery disease.
D003327:Coronary Disease / Q000188:drug therapy; D004341:Drug Evaluation; D006801:Humans; D000960:Hypolipidemic Agents / Q000627:therapeutic use; D008722:Methods; D008962:Models, Theoretical; D011446:Prospective Studies; D012044:Regression Analysis; D012306:Risk; D013997:Time Factors
D000960:Hypolipidemic Agents