An overview of commonly used statistical methods in clinical research
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In brief
In brief
This article provides clinicians with a foundational understanding of statistical methods commonly applied in clinical research. It covers descriptive and inferential statistics, regression modeling, and propensity score analysis, emphasizing the rationale, assumptions, and practical limitations of each approach.
Written by the GCMD Library team from the article.
Publication date: Available online 25 October 2018
Source: Seminars in Pediatric Surgery
Author(s): Yuri V. Sebastião, Shawn D. St. Peter
Abstract
Statistics plays an essential role in clinical research by providing a framework for making inferences about a population of interest. In order to interpret research datasets, clinicians involved in clinical research should have an understanding of statistical methodology. This article provides a brief overview of statistical methods that are frequently used in clinical research studies. Descriptive and inferential methods, including regression modeling and propensity scores, are discussed, with focus on the rationale, assumptions, strengths, and limitations to their application.