Stata se 13.1 for mac

A relative ratio (RR) was used to evaluate treatment effects on the major symptoms - cough, phlegm, and dyspnea - comparing the indacaterol groups with the placebo group. The data were inspected to determine whether an analysis with a random effects model using the method of Der Simonianand Kacker (17 (link)), with the estimate of heterogeneity being taken from the inverse-variance fixed-effect model (18 (link)), was required. We calculated the 95% confidence intervals around the RRs. The weights as a percentage of the overall total were applied to find the interaction within each subgroup separately. Statistical heterogeneity between trials was analyzed using a chi-square test and by the I² statistic. A test of whether the summary effect measure is equal to the null was performed, as well as a test for heterogeneity (i.e., whether the true effect in all studies is the same). Heterogeneity was also quantified using the I-squared measure (18 (link)). I² values greater than 25%, 50%, and 75% were considered evidence of low, moderate, and high statistical heterogeneity, respectively. Meta-analyses were conducted using metan command in Stata SE 13.1 for Mac (StataCorp., College Station, TX, USA).

Statistical software Stata/SE 13.1 for Mac was used (Stata-Corp, 2013, Stata Statistical Software: Release 13, Stata-Corp LP, College Station, TX, USA). Univariate logistic/linear regressions identified predictor variables to include in multivariate regressions (reduce risk of overfitting) at P<0.20. Multiple logistic/linear regressions, adjusting for covariates, identified independent significant predictors for outcome variables.