Tag: CMA

By Yashika Kapoor & 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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By Yashika Kapoor & 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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By Yashika Kapoor & 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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By Yashika Kapoor & Priya Chetty on December 24, 2017 3 Comments

The Comprehensive Meta-analysis (CMA) software is a user-friendly and diverse software. It is capable of handling and executing multiple tests involved in performing Meta-analysis.

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By Yashika Kapoor & Priya Chetty on November 4, 2017 No Comments

The present article takes up the datasheets for the unmatched post and pre or post design and illustrates the results with statistics. The present discussion will focus on the interpretation of the results.

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By Yashika Kapoor & Priya Chetty on November 3, 2017 No Comments

Acquaintance with different methods of entering data in the software makes the task simpler. The manual data entry included entering the raw data for the dichotomous category for the study investigating one group.

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By Yashika Kapoor & Priya Chetty on November 1, 2017 No Comments

The previous article illustrated the manual data entry procedure to facilitate data analysis for performing meta-analysis in comprehensive meta analysis (CMA) application.

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By Yashika Kapoor & Priya Chetty on November 1, 2017 No Comments

The meta-analysis results involve basic summary statistics, forest plots and model statistics. Besides these, also funnel plot can be obtained to study publication bias amongst the studies in the analysis.

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