Clinical Research Statistics

One of the cornerstones of evidence-based clinical practice is statistical analysis, which is essential for both performing new clinical research and assessing and using earlier studies. In this article, we go over how to choose statistical methods, how to analyze how variables are related, and how to employ these methods while the clinical processes under study are still in progress. We go over how to create predictive models for use in clinical settings, how to judge these models' stability, and other quantitative findings. Techniques used with events in a causal chain or that are somehow linked are distinct from those used with independent occurrences. The focus then shifts to study design, selecting the appropriate sample size for a particular comparison, and statistically unfavorable investigations.


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