## Random Effects Model(随机效应模型)研究综述

Random Effects Model 随机效应模型 - Where data are of sufficient homogeneity, a meta-analysis using a random-effects model will be conducted.^{[1]}Random-effects models were applied to pool relative risks (RRs).

^{[2]}A meta-analysis was conducted to examine peri- and postoperative outcomes using fixed- and random-effects models.

^{[3]}A random-effects model was used to estimate the primary outcome of anatomical success, defined as occlusion rate of the treated vein.

^{[4]}We calculated pooled estimates of lifetime prevalence of one or more ACEs and four or more ACEs with random-effects models.

^{[5]}Meta-analyses using a random-effects model for gait speed, cadence, step length (non-affected side) and spatial asymmetry revealed no significant differences between the RAGT and comparator groups, while stride length (mean difference [MD] 2.

^{[6]}We conducted network meta-analyses (NMA) and ranked treatments according to effectiveness for each outcome using the random-effects model and Stata software (version 15).

^{[7]}Results data that were similar enough to be pooled were meta-analysed using a random-effects model, and those that could not be pooled were reported in narrative form.

^{[8]}They were then pooled using a random-effects model with the DerSimonian-Laird method.

^{[9]}Effect sizes were calculated using random-effects models.

^{[10]}A random-effects model was used for meta-analysis.

^{[11]}A random-effects model analysis revealed a large effect size (Cohen's d = 1.

^{[12]}The hierarchical random-effects model analysis was adopted in all comparisons.

^{[13]}We conducted meta-analyses using the Mantel-Haenszel method with random-effects model.

^{[14]}Seven epidemiological studies were included in our analysis using the random-effects model.

^{[15]}DerSimonian and Laird random-effects models with inverse-variance weights were used to account for heterogeneity between the studies.

^{[16]}Forest plot was used to present the pooled estimate of good self-care practice using DerSimonian and Laird's random-effects model.

^{[17]}DerSimonian and Laird random-effects models with inverse-variance weights were used to account for the heterogeneity between the studies.

^{[18]}Data were pooled separately for adjusted and unadjusted odds ratios (ORs) using random-effects model.

^{[19]}A random-effects model was used.

^{[20]}These results are supported by the application of the panel regression with one-way random-effects models.

^{[21]}Data were pooled via a random-effects model, I2 was used as a measure of heterogeneity, and publication bias was assessed via a funnel plot.

^{[22]}Heterogeneity analysis of seven single-state studies with raw data revealed an acceptable fit for a random-effects model.

^{[23]}A meta-analysis was performed with Review Manager Software, with random-effects models, whenever methodologically possible and relevant.

^{[24]}We analyzed associations of these common psychological symptoms with CVDs and DM over time using multi-level random-effects models, accounting for repeated measurements and individual variation.

^{[25]}Data were pooled mainly using random-effects model; however, because of some sparse data, Peto odds ratios (PORs) were used for outcomes of fever resolution and adverse event.

^{[26]}Using classical random-effects model, they found that SARS-CoV-2 infection was associated with preeclampsia, preterm birth and stillbirth.

^{[27]}Random-effects models were applied to calculate the pooled ORs (odds ratios) and 95% CIs (confidence intervals) to test the strength of the association in the overall group and subgroups stratified by ethnicity, respectively.

^{[28]}A random-effects model meta-analysis was used, and I-square was utilized to assess for heterogeneity.

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如果数据具有足够的同质性，将使用随机效应模型进行荟萃分析。

^{[1]}随机效应模型被应用于汇集相对风险 (RRs)。

^{[2]}使用固定效应和随机效应模型进行了一项荟萃分析，以检查围手术期和术后结果。

^{[3]}随机效应模型用于估计解剖成功的主要结果，定义为治疗静脉的闭塞率。

^{[4]}我们使用随机效应模型计算了一个或多个 ACE 和四个或多个 ACE 的终生患病率的汇总估计值。

^{[5]}使用随机效应模型对步态速度、节奏、步长（未受影响的一侧）和空间不对称性进行的荟萃分析显示，RAGT 组和对照组之间没有显着差异，而步幅长度（平均差 [MD] 2.

^{[6]}我们使用随机效应模型和 Stata 软件（第 15 版）进行网络荟萃分析 (NMA) 并根据每个结果的有效性对治疗进行排序。

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