呕血整理-Meta分析的SCI写作模板-Statistical analysis

今天我们继续给大家带来《Meta分析的SCI写作模板》系列，今天给大家介绍的是统计方法部分-Statistical analysis。这部分的主要内容是介绍我们使用的效应量-OR,RR,SMD,WMD等，合并效应量的方法-随机效应模型/固定效应模型，发表偏倚的检测方法-漏斗图/ Egger’s法/Begg’s法，敏感性分析，发表偏倚的，一般的每一种统计方法都有固定的表述方法。

①Odds ratios (OR) with 95% confidence intervals (CI) were assessed for determining the relationship between ××× and ×××.

②The weighted mean difference (WMD) and odds ratio (OR) were used to compare continuous and dichotomous variables, respectively. All results were reported with 95% confidence intervals (CIs).

③For meta-analysis, the total effectiveness rates of dichotomous data were pooled using risk ratios (RRs). The aggregated results and 95% CIs for effect size were calculated using inverse-variance weighted random-effects meta-analysis. I2 was used to assess heterogeneity across studies , with I2 values of 0%, 25%, 50% and 75% representing no, low, moderate and high heterogeneity, respectively. Meta-regression was conducted to investigate the potential covariates that might have substantial impacts on between-study heterogeneity. Influence analysis was also conducted to determine whether an individual study affected the aggregate result or not. Visual inspection of the funnel plot and Egger’s linear regression test was done to assess publication bias. Subgroup analyses were performed according to the type of study design.

④Dichotomous data were analyzed by using the risk ratio (RR) computed using the Mantel Haenszel method (fixed or random models). Continuous outcomes measured on the same scale were expressed as a mean value and standard deviation and were analyzed by using weighted mean differences (WMD). I-square (I2) test was performed to assess the impact of study heterogeneity on the results of the meta-analysis. According to the Cochrane review guidelines, if severe heterogeneity was present at I2 >50%, the random effect models were chosen, otherwise the fixed effect models were used. Moreover, sensitivity analysis was conducted by deleting each study individually to evaluate the quality and consistency of the results. Publication bias was assessed by both Egger’s test and Begg’s test.

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