… rank test [18], A multivariate regression model (Cox proportional hazards regression model)
[19], … Model selection for identifying the variables that had an important effect on survival was …

… in 48 (1.86%) of 2,579 consecutive patients. These patients underwent open-heart procedures
… Possible risk factors were evaluated by means of a multivariate analysis. For the group of …

… analysis by means of the proportional … regression method developed by Cox was used in
order to identify … inclusion in the Cox regression method were those for which there was some …

… a multivariate logistic regression analysis for factors that were significant in univariate analyses
to … In addition, we performed univariate analysis using the log-rank test to evaluate the …

… Eighty consecutive patients who were discharged from the hospital after … patient in this
group had programmed antitachycardia pacing. Multivariate stepwise regression analysis …

… a multiple regression analysis of data collected from a large series of patients consecutively
… The present series is composed of 874 consecutive patients with SCC, included in one of …

… consecutive patients by skin prick tests and quantified specific IgE to latex with commercial
antigens. RESULTS: Twenty-nine patients … stepwise multiple logistic regression analysis, the …

… From 1991 to 2002, the medical records of 107 consecutive patients … Information regarding
patient and tumor characteristics, … The results of a multivariate logistic regression analysis …

… All consecutive patients undergoing … used multivariate logistic regression analyses to
determine the independent risk factors of postoperative morbidity. In our study, multivariate analysis …

… Significant variables associated with survival were chosen for multivariate analysis by the
Cox proportional hazards regression model using a stepwise approach, to identify …