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Data Analysis

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In statistics, “power” refers to the ability of your study to identify effects of substantial interest. Read on to find out how and when you may calculate statistical…
Optimizing research quality: Importance of statistical power and how to calculate it in biomedical sciences
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Big data has brought an unprecedented change in the way research is conducted in every scientific discipline. Although the availability of big data sets and the…
Although statistics is one of the primary tools of biomedical research, its misuse and abuse, whether intentional or unintentional, is widespread. It is, in fact,…
Research nearly always involves measuring and counting: drawing inferences based on quantitative data is one of the distinguishing characteristics of science. 
In evidence-based medicine, statistical information is critical for investigators to interpret observations and make treatment recommendations. A dichotomous way of…
While the proper use of statistics can be confusing, it should not be scary. This article provides some simple suggestions to help you be more thoughtful and accurate in…
Statistical reporting doesn’t have to be scary: Tips for the statistically challenged researcher
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Although p values are commonly used, they need to be reported carefully so that your paper provides strong and useful evidence. This article lists some key points you…
Reporting P values: A handy guide for biomedical researchers
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We bring to you the top 6 questions asked by researchers like you during a session on the importance of data distribution in statistical analysis and much more along…
6 Top questions from Editage's recent webinar "Unpacking Data Distributions"
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This article explains what is survival analysis, its uses, how to conduct a survival analyses, and some best practices.
Best practices in reporting survival analyses: A guide for biomedical researchers
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Because meta-analyses can have a substantial impact on the decisions made by clinicians, researchers, policymakers, etc., they need to be conducted carefully and…