SCI统计方法写作秘籍【1065】

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一些人困惑SCI论文里Statistical analysis部分如何撰写，这就问对人了，松哥告诉你最最简单的4词8字撰写法，开始喽！

1.软件

数据分析所使用的软件及其版本、所属公司、公司所属地等信息。请注意后面SAS、R、SPSS、Graphpad、Matlab等的写法，松哥都给你搜集好了。

例如：Thedata were analysed by SPSS version 24.0 for Windows (SPSS Inc., Chicago, IL,USA).

2.描述

数据结果的呈现和描述形式。

例如：Continuousvariables with normal distribution were presents as mean±standarddeviation (SD); non-normal variables were reported as median (interquartilerange).

3.检验

数据分析的统计检验方法。该部分写作要尽可能的详尽。

例如：Meanof two continuous normally distributed variables were compared by independentsamples Student's test.

4.水准

设定的假设检验水准。

例如：Avalue of P<0.05 was considered significant.

Statistical analysis（sample 1）

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Thedatawere … analysed by SPSS version 11.5 for Windows (SPSS Inc., Chicago, IL, USA).Thenormality of distribution of continuous variables was tested by one-sampleKolmogorov-Smirnov test. Continuous variables with normal distribution werepresentedas mean (standard deviation [SD]); non-normal variables were reported as median(interquartile range [IQR]). Means of 2 continuous normally distributed variables were comparedby independent samples Student’s t test. Mann-Whitney U test and Kruskal-Wallistest were used, respectively, to compare means of 2 and 3 or more groups ofvariables not normally distributed. The frequencies of categorical variableswere compared using Pearson χ2 or Fisher’s exact test, when appropriate.A value of P<0.05 was considered significant.”

Statistical analysis（sample 2）

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Thestatisticalanalysis was performed by MATLAB statistical toolbox version2008 (MathWorks,Natick, MA, USA)for Windowsat 32 bit. Dataare presented as number and percentages for categorical variables, and continuous datawere expressedas mean ± standard deviation (SD), unless otherwise specified.Inter-group difference was compared using Chi-square test or Fisher’s exact test for categoricalvariables andone-way ANOVA test for continuous variables. The logrank test was used to compare Kaplan–Meier survival curves. The pre-therapy data were used as thebaseline andcompared with post-therapy data by ANOVA test forrepeated measures. Only if ANOVA test was significant, the pvalue for pairwise comparisons was computed with tStudent test with Bonferroni correction. We consideredsignificant allstatistical tests with p value<0.05. Finally, we had denoted with T0 = pre-therapy control point, T1 = 6 months of therapy, T2 = 12 months oftherapy.

Statistical analysis（sample 3）

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Dataareexpressed as the mean ± standard deviation (SD). For parametric data, comparisonof different groups was performed by one-way analysis of variance, followed by Tukey’spost hoc test for multiple comparisons. Survival rate was plotted usingKaplan−Meier method and analyzed using Log-rank test.Statisticalanalysis was performed using GraphPad Prism 5 (GraphPad Software Inc., San Diego, CA, USA).P <0.05 was considered statistically significant.

Statistical analysis（sample 4）

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Statisticalanalyseswere performed using GraphPad Prism 6 Software (GraphPadSoftware,Inc.,SanDiego,CA), MedCalcsoftware (MedCalcSoftware, Ostend, Belgium) and R (R Foundation forStatistical Computing, Vienna, Austria). The Mann-Whitney U test andFisher’s exacttest were performed to evaluate the patient characteristics between: RAS andBOS,and RAS and No-CLAD. The Mann–Whitney U test was performed to investigate thestatistical significancefor inward and outward deformation vectors between: RAS and BOS,andRASand No-CLAD. The Wilcoxon-signed rank test was used for comparing the upperandlowersections. Logistic regression and 10-fold cross-validation were performed toevaluate whetherthe results from deformation analysis alone could categorize the patientsinto RAS,BOS or No-CLAD independently from the PFT/TLC results. Ap-value <0.05 was considered to indicate significant differences in median data values.

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