Statistical hypothesis testing: general approach in medical research

Suvorov, A. Yu. and Bulanov, N. М. and Shvedova, A. N. and Tao, E. A. and Butnaru, D. V. and Nadinskaia, M. Yu. and Zaikin, A. A. (2022) Statistical hypothesis testing: general approach in medical research. Sechenov Medical Journal, 13 (1). pp. 4-13. ISSN 2218-7332

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Abstract

Statistical hypothesis testing is one of the key steps in modern medical research. Initially, scientists formulate a research hypothesis based on which the statistical hypothesis is then developed and statistically tested. This review provides the null and alternative hypotheses’ compiling examples for different research questions and the general algorithm for their testing using t-test. The authors also describe type I errors, which are necessary to interpret p-values estimated from statistical tests, and type II errors, which are used to assess study power. The article focuses on effect size and its calculation methods, and the difference between statistically significant and clinically significant effects. The associations between effect size, sample size, and type II error are also discussed.

Item Type: Article
Subjects: OA Digital Library > Medical Science
Depositing User: Unnamed user with email support@oadigitallib.org
Date Deposited: 16 Feb 2023 09:51
Last Modified: 01 Jul 2024 07:26
URI: http://library.thepustakas.com/id/eprint/473

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