Related Experiment Video
Updated: Jun 26, 2026

Measurement of Specific Mycobacterial Mistranslation Rates with Gain-of-function Reporter Systems
Published on: April 26, 2019
Statistical tests for one-way/two-way translation in translational medicine
Siu-Keung Tse1, Shein-Chung Chow, Chunyan Yang
1City University of Hong Kong, Hong Kong SAR, China. mssktse@cityu.edu.hk
Abstract:
Translational medicine has been defined as bench-to-bedside research, where a basic laboratory discovery becomes applicable to the diagnosis, treatment or prevention of a specific disease, and is brought forth by either a physician/scientist who works at the interface between the research laboratory and patient care, or by a team of basic and clinical science investigators. Statistics plays an important role in translational medicine to ensure that the translational process is accurate and reliable, with statistical assurance. For this purpose, statistical criteria for assessment of one-way and two-way translation are proposed. Under a well established and validated translational model, statistical tests for one-way and two-way translation are discussed. Some discussion on lost in translation is also given.
Related Concept Videos
Bioequivalence Experimental Study Designs: Repeated Measures, Cross-Over, Carry-Over, and Latin Square Designs
Friedman Two-way Analysis of Variance by Ranks
Statistical Methods to Analyze Parametric Data: Student t-Test and Goodness-of-Fit Test
The Student's t-test is a statistical test that examines if there is a statistically significant difference between the means of two groups. This test is instrumental when dealing with data...
Test for Homogeneity
Comparing Experimental Results: Student's t-Test
One-Way ANOVA
