Articles related to CMA

Understanding effect size in CMA

In the previous article: Data entry formats in CMA, different data entry formats were shown. In the discussion surrounding meta-analysis, effect size holds the prime importance, when it comes to analysis. 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”. As different studies generate different datasets of variable nature, hence the effect size for a given study cannot be constrained to one particular index or measure (“measures” will be used in the article). Read more »

Understanding the various data entry formats in CMA

The software interface was discussed in the previous articleIntroducing Comprehensive Meta analysis (CMA) software. To calculate the effect size, one needs to enter the data into specific data entry formats. This article will acquaint the user with the procedure of entering the data into the software. Read more »

Meta-analysis for one group

The previous article, explained how to enter data for performing meta-analysis of the studies reporting comparison data. Therefore the present article will explain 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. Read more »

Summary results and analysis for odds ratio

Results can be obtained by clicking on “Run Analysis”. The image below shows the result for meta-analysis of the odds ratio data, for both random and fixed effects model. 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. Also, as the studies do not follow identical research design, hence random effect model selection ensues. Read more »

Introducing Comprehensive Meta analysis (CMA) software

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. The present module article, introduces the user to the software’s interface, focusing upon various functionalities of lite version of CMA software. Read more »

Continuous comparison unmatched group data with statistics

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. Read more »

Continuous data entry in CMA involving comparison between groups

The previous articles discussed two different ways of meta-analyzing the Cholecystitis and Gallbladder Cancer problem using two different effect size data formats. 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. On the other hand the demonstration for data loading used the computed effect sizes data for the dichotomous category for the study investigating 2 groups. Read more »

Analysis and interpretation of results using meta analysis

The previous article illustrated the manual data entry procedure to facilitate data analysis for performing meta-analysis in comprehensive meta analysis (CMA) application. Taking it further the present article introduces procedures of analyzing the entered data and interpretation of the results. The article will introduce the results and analysis interface to probe the association of Cholecystitis with gallbladder carcinoma. Read more »

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