Meta-Analysis

Meta-Analysis

In parallel with our expertise in systematic reviews, our team can help identify studies that are appropriate to be synthesized in a meta-analysis using the appropriate statistical methods. Our team includes highly trained statisticians and data analysts.

Steps we perform include:

• Study selection and data extraction based on risk of bias assessment, data type, study design, and study objectives (e.g. interventional or diagnostic accuracy)
• Deciding which data types can be combined in a meta-analysis, and how to transform different types of data across different studies into a measure that can be combined
• Selection of the correct meta-analysis model for your study (e.g. fixed effect or random effects meta-analysis)
• Examining sources of heterogeneity between studies included
• Integration of additional techniques including, examination of publication bias, subgroup analysis, sensitivity analysis, cumulative meta-analysis, network meta-analysis, and meta-regression
• Application of advanced and cutting-edge techniques, which may be appropriate for your meta-analysis