Sas versions 9 2 and 9

The Institute of Japanese Union of Scientists and Engineers carried out the statistical analysis of this study, using the database created by the research institution. In principle, continuous variables were summarized using basic statistics (number of patients, mean [standard deviation (SD)], minimum, median, and maximum), and categorical variables were summarized in frequency tables. All statistical analyses were performed using SAS Versions 9.2 and 9.3 (SAS Institute, Inc., Cary, NC, USA). The significance of the relationship between the incidence of FN and patient demographic characteristics was tested using a chi-squared test. Odds ratios were estimated using a logistic regression model. Based on the univariate logistic regression model (univariate model) for the analysis of factors involved in the development of FN in cycle 1, a multivariate model was constructed by combining the statistically relevant indicators (with p < 0.10 in the univariate model) and factors considered necessary from a medical viewpoint. Multivariate re-analysis was performed by a stepwise variable selection procedure with an entry and removal probability of 0.20 to avoid overlooking factors affecting FN onset [11 ]. Although this was not a hypothesis-testing study, all tests were two-sided, and a p value <0.05 was considered significant.