Literature DB >> 30473041

An overview of commonly used statistical methods in clinical research.

Yuri V Sebastião1, Shawn D St Peter2.   

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.
Copyright © 2018 Elsevier Inc. All rights reserved.

Keywords:  Descriptive statistics; Inferential statistics; Propensity scores; Regression analysis; Survival analysis

Mesh:

Year:  2018        PMID: 30473041     DOI: 10.1053/j.sempedsurg.2018.10.008

Source DB:  PubMed          Journal:  Semin Pediatr Surg        ISSN: 1055-8586            Impact factor:   2.754


  4 in total

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Journal:  J Pain Res       Date:  2021-08-06       Impact factor: 3.133

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Authors:  Gee-Chen Chang; Tsung-Ying Yang; Kun-Chieh Chen; Kuo-Hsuan Hsu; Yen-Hsiang Huang; Kang-Yi Su; Sung-Liang Yu; Jeng-Sen Tseng
Journal:  Sci Rep       Date:  2020-12-03       Impact factor: 4.379

4.  A systematic review and meta-analysis of the effect of transitional care interventions on the prognosis of patients with heart failure.

Authors:  Xiuzhen Lin; Ruxiang Ji; Xia Wang; Ruomei Xin; Qiongyan Chen
Journal:  J Thorac Dis       Date:  2022-04       Impact factor: 2.895

  4 in total

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