Statistical analysis was conducted by using STATA statistical package (version 10.0, STATA, College Station, TX, USA) and Review Manager software (Version 4.2 for Windows, Oxford, England: The Cochrane Collaboration, 2002). Given that there was no distribution of null/present heterozygote in each single study selected, the Hardy-Weinberg equilibrium (HWE) test could not be conducted. The association between GSTM1, GSTT1 null genotype and risk of cervical cancer risk was estimated by OR with 95% CI. The heterogeneity was tested by the Q-statistics with P values < 0.1, and its possible sources of heterogeneity were assessed by subgroup analysis. Depending on the results of heterogeneity test among individual studies, the fixed-effect model (Mantel-Haenszel) or random-effect model (DerSimonian and Laird) was selected to summarize the combined OR and their 95% CI. The significance of the pooled OR was determined by the z-test. All the P values were two sided. P value less than 0.05 was considered statistically significant.
Review manager software
Manufactured by StataCorp
Sourced in United States
Review Manager Software is a tool designed to assist researchers and scientists in managing the peer review process for their research papers. It provides a centralized platform for authors, reviewers, and editors to coordinate the review workflow, track progress, and communicate effectively.
Automatically generated - may contain errors
Lab products found in correlation
3 protocols using review manager software
1
Genetic Variants and Cervical Cancer Risk
2
Survival Analysis of Gene Signatures
Check if the same lab product or an alternative is used in the 5 most similar protocols
+ Expand
The survival curves of genes were plotted by online software using kaplan meier plotter and gene expression pro ling interactive analysis. HRs (hazard ratios), p(HRs) and 95% con dence intervals (CIs) were extracted for meta-analysis. The HRs and 95% CIs were applied to calculate the pooled HRs and 95% CIs. If the 95% CI of any gene was absent, it was calculated based on HRs and p value using Review Manager Software, version 5.4.1.
Meta-analysis was performed using the STATA software, version 16.0 (STATA Corporation, College Station, TX, USA). Pooled HRs with 95% CIs were calculated for positive gene signatures in different cancer types and were presented in a forest plot. An HR > 1 implied that the patients who highly expressed those genes had a shorter survival time. A p value less than 0.05 was considered statistically signi cant. Heterogeneity was calculated and presented as I 2 . Random effect model was chosen for analysis based on the fact that the studies were different in terms of sample size and patients.
Meta-analysis was performed using the STATA software, version 16.0 (STATA Corporation, College Station, TX, USA). Pooled HRs with 95% CIs were calculated for positive gene signatures in different cancer types and were presented in a forest plot. An HR > 1 implied that the patients who highly expressed those genes had a shorter survival time. A p value less than 0.05 was considered statistically signi cant. Heterogeneity was calculated and presented as I 2 . Random effect model was chosen for analysis based on the fact that the studies were different in terms of sample size and patients.
3
Meta-analysis of Biomedical Interventions
Check if the same lab product or an alternative is used in the 5 most similar protocols
+ Expand
The statistical analysis was performed by using Review Manager Software (version 5.4) and STATA 12 (Stata Corp., College Station, TX). For dichotomous variables, the Mantel Haenszel method will be used for analyses. Relative risk with 95% confidence intervals will be reported for effect size. For continuous variables, the inverse variance method will be used for analyses and treatment effect will be reported as mean difference with 95% confidence intervals. Odds ratio (OR) with 95% confidence interval (CI) were analyzed, and the weighted mean difference with 95% CI was calculated. The heterogeneity in the studies was evaluated using I2 statistics (value ranged from 0 to 100%). I2 value > 50% was considered indicative of substantial heterogeneity that is due to real differences in protocols, trial populations, interventions, and/or outcomes. Cochran Q test P value < .05 indicates that the heterogeneity is beyond chance or random error. The random-effect model will be used if I2 value > 50%. Funnel plots were drawn to estimate publication bias. P < .05 was defined as statistically significant.
About PubCompare
Our mission is to provide scientists with the largest repository of trustworthy protocols and intelligent analytical tools, thereby offering them extensive information to design robust protocols aimed at minimizing the risk of failures.
We believe that the most crucial aspect is to grant scientists access to a wide range of reliable sources and new useful tools that surpass human capabilities.
However, we trust in allowing scientists to determine how to construct their own protocols based on this information, as they are the experts in their field.
Ready to get started?
Sign up for free.
Registration takes 20 seconds.
Available from any computer
No download required
Revolutionizing how scientists
search and build protocols!