Tag: CMA

Understanding effect size in CMA

By Yashika Kapoor and Priya Chetty on April 29, 2018 No Comments

An effect size is the magnitude or size of an effect resulting from a clinical treatment. Thus, in Comprehensive Meta Analysis (CMA), it assumes the reference of “treatment effect”.

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Meta-analysis for one group

By Yashika Kapoor and Priya Chetty on December 25, 2017 3 Comments

This article explains the data entry methodology, for performing meta-analysis on the outcomes of studies having a single group. For this purpose, the single group of patients who were administered drug treatment will be taken into consideration.

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Summary results and analysis for odds ratio

By Yashika Kapoor and Priya Chetty on December 25, 2017 1 Comment

As seen the relative weighting of studies in the two models are quite different. The random effects model takes into account both the interstudy variance and sample size, resulting in well-distributed weight.

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