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Ten circumstances and solutions for finding the sample mean and standard deviation for meta-analysis
Kuan-Yu Chi1, Man-Yun Li1, Chiehfeng Chen2,3,4,5
1School of Medicine, College of Medicine, Taipei Medical University, Taipei, Taiwan.
This study addresses the common meta-analysis challenge of missing standard deviation (SD) or mean values. It offers practical solutions and a free tool for researchers and educators to overcome data limitations in statistical analyses.
Area of Science:
- Biostatistics
- Medical Research Methodology
- Data Analysis
Background:
- A significant challenge in conducting meta-analyses is the frequent unavailability of essential statistical data, specifically the mean and standard deviation (SD).
- Existing statistical measures like median, interquartile range (IQR), or range are not directly applicable in standard meta-analysis calculations.
- Despite proposed estimation methods over two decades, a user-friendly, comprehensive tool addressing various missing SD scenarios has been lacking.
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