Spss 14

All data were subjected to unpaired Student’s t test at levels of p ≤ 0.01 and p ≤ 0.05. Data are shown as the means ± SE (n = 3), and n represents the biological replicates. Excel 2010 (Microsoft Corporation, Redmond, WA, USA) and SPSS14.0 software (IBM, New York, NY, USA) were used for data statistics.

The data were subjected to the unpaired student t test at levels of p ≤ 0.01 and p ≤ 0.05. Data are shown as mean ± SE (n = 5 or 3) and n represents the biological replicates. Excel 2010 (Microsoft Corporaion, Redmond, WA, USA) and SPSS14.0 software (IBM, New York, NY, USA) were used for data statistics.

All experiments in this study were independently repeated three times, and the data are presented as the mean ± SD (n = 3). The statistical analysis was initially performed using SPSS 14.0 software (IBM, New York, NY, USA), while the figures were originally created using Origin 2021 software (Origin Lab, Northampton, MA, USA). The significance of differences was denoted using different lowercase letters.

Analysis will be performed on an intention-to-treat basis. All statistical analysis will be performed with SPSS 14.0 software (International Business Machines Corp., New York, USA). Two-tailed tests will be used in all statistical analysis, and p values < 0.05 will be considered to have statistical significance (unless otherwise specified).
A Poisson regression model will be used to calculate the rate ratio of frequency of exacerbation and the 95% confidence interval will be estimated. The influences associated with different centers or baseline data will be considered.
Numeric variables will be presented as mean (standard deviation) or median (minimum, maximum; or interquartile range) and categorical variables will be presented as number of cases (percentage). Accordingly, data will be analyzed with independent sample t test, Wilcoxon rank sum test, chi-square test, continuity correction Chi-squared test or Fisher’s exact test. Characteristics of baseline will be summarized with equilibrium test. Unplanned outpatient visits, emergency medical visits, hospitalization, medical cost and mortality caused by AECOPD per year will be compared between two groups.

All experiments were conducted in triplicate, and the data were expressed as mean ± SD. The resulting mean values were <10% SD. Statistical analyses were performed using SPSS 14.0 software (IBM, NY). The data sets were compared by Student’s t tests, and P values <0.05 were considered significant.