Yashika Kapoor and Priya Chetty on December 25, 2017 1 Comment
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.
Yashika Kapoor and Priya Chetty on December 25, 2017 No Comments
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.
Yashika Kapoor and Priya Chetty on November 4, 2017 No Comments
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.
Yashika Kapoor and Priya Chetty on November 3, 2017 No Comments
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.
Yashika Kapoor and Priya Chetty on November 1, 2017 No Comments
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.
Yashika Kapoor and Priya Chetty on October 31, 2017 No Comments
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.