meta analysis

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meta analysis

A method that uses statistical techniques to combine results from different studies and obtain a quantitative estimate of the overall effect of a particular intervention or variable on a defined outcome—i.e., it is a statistical process for pooling data from many clinical trials to glean a clear answer. Meta-analysis produces a stronger conclusion than can be provided by any individual study.

Cons
Bias, potential for analytical sloppiness, lack of understanding of basic issues, failure to consider major covariates, and overstating the strengths and precision of the results.
References in periodicals archive ?
The first cross-border industry data pooling initiative for credit risk, the PECDC currently has the participation of many European top 15 and several global top 10 banks.
He continued, "Algorithmics was chosen as our partner because of their extensive knowledge in the area of credit data pooling and analysis.
The PECDC will set new standards for data pooling and the external validation of PD and LGD across the euro-zone.
A high-priority need that has been identified by PD researchers is for improved methodologies to facilitate data pooling, combined analysis, and comparison of results across epidemiologic studies.
com/research/a83858/healthcare_data_po) has announced the addition of the "Healthcare Data Pooling and Evidence-Based Measures: Understanding The Coming Changes in Employer, Payor and Provider Dynamics Audio Conference" report to their offering.
However, in Minnesota, Washington, and Wisconsin, local reform efforts are already focusing on data pooling as a way to better understand the healthcare environment.
Data pooling can help fuel quality and efficiency measures and provide real knowledge about local trends.
Join the Managed Care Information Center and Milliman to learn about the best practices and lessons learned in current data pooling initiatives and its future potential in "Healthcare Data Pooling and Evidence-Based Measures: Understanding The Coming Changes in Employer, Payor and Provider Dynamics" a 90-minute audio conference that took place in May 2008.
Best practices and lessons learned from existing data pooling initiatives
The purpose of this meeting was to exchange data and information on environmental risk factors and genetic susceptibility markers with respect to emerging issues and concepts in exposure assessment and biomonitoring, as well as promote opportunities for collaborative analyses (such as data pooling, meta-analyses, parallel analysis strategies, and new multicenter studies).