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