Category: Learning modules
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 interpretationThis article helps in importing and loading data from other programs such as Ms-Excel. It will take up the case example of Cholecystitis and gallbladder carcinoma illustrated in manual data entry procedure.
CMA, CMA introductionFollowing the discussion on the significance of effect sizes, and selecting suitable data entry formats, this next step is to understand different software functionalities through appropriate case studies.
CMA, CMA analysisThe discussion surrounding meta analysis has effect size at the prime spot. It is the magnitude or size of an effect and usually refers to treatment effect in comprehensive meta analysis (CMA).
CMA, CMA analysisThe earlier article (Introduction to CMA) gave a brief overview of the various functionalities offered by the CMA software. This article acquaints the user with the procedure of selecting appropriate data entry formats.
CMA, CMA introductionSurvival analysis is a method under predictive modeling where the dependent variable is time. Therefore, it involves time-to-event prediction modeling. The methodology is that our outcome variable is time until the occurrence of a certain event.
detection in supervised learning, Supervised learningRegression analysis is a statistical tool to study the relationship between variables. These variables are the outcome variable and one or more exposure variables. In other words, regression analysis is an equation which predicts a response from the value of a certain predictor.
regressions in supervised learning, Supervised learningFindings in meta-analysis are integrated by the means of effect sizes also known as the currency of meta-analysis. They span the group of ‘indices’. An index is a statistical measure which is a compound representation of the several observations in the study. It gives a general dimension to the phenomenon.
CMA, CMA analysis