Allergic diseases interfere with the normal existence of an individual, resulting in physical and emotional distress.The data on health-related quality of life shows the interference of allergies in work and social life, inhibition of outdoor activities and mobility (Baiardini, Braido, Brandi, & Canonica, 2006), making identification of relevant treatment options important.
It is essential to discuss the economics associated with the different treatment options. This demands the exploration of the cost of illness also known as the burden of disease.
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.
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.
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 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.
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.