Understanding effect size in CMA
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”.
CMA, CMA analysisTag: CMA
Meta-analysis for one group
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.
CMA, CMA analysisSummary results and analysis for odds ratio
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.
CMA, CMA analysisIntroducing 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.
CMA, CMA introductionContinuous 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.
CMA, CMA analysisContinuous data entry in CMA involving comparison between groups
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.
CMA, CMA analysisAnalysis 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.
CMA, CMA analysis, result interpretationInterpretation of results of meta analysis on different types of plot
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.
CMA, CMA analysis, result interpretation