Statistics for the Clinician II: The T-test, Its Versions, and Its Alternatives

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Authors: Sherwin Thiyagarajan, Paul Abboud, Reza Ehsanian, Ross Hanson, Timothy Randal Petersen
Cited by: 1
References: 14

Abstract

The t-test is a mainstay statistical test that allows researchers to use the observed averages (arithmetic means) of data samples to draw evidence-supported conclusions about the corresponding averages in the populations they represent. This article serves as an introduction to this common and useful technique for clinicians with a limited statistical background, who seek to deepen their understanding of the t-test, its reasoning, and its implications in clinical research. We describe the three basic forms of the t-test, its applications and alternatives, and some related concepts while avoiding technical concepts and jargon as much as possible.

Fields of Study & Subjects

Meta-analysis and systematic reviews Statistical Methods in Clinical Trials Statistical Methods and Bayesian Inference

Publication details

Journal / source
Seminars in Cardiothoracic and Vascular Anesthesia
Publisher
SAGE Publications
Volume
30
Issue
3
Pages
199–206
Publication date
20 April 2026
Language
EN