title: Statistical tests for one-way/two-way translation in translational medicine.
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.
authors.affiliation: City University of Hong Kong, Hong Kong SAR, China. mssktse@cityu.edu.hk
authors.forename: Siu-Keung
authors.initials: SK
authors.lastname: Tse
authors.forename: Shein-Chung
authors.initials: SC
authors.lastname: Chow
authors.forename: Chunyan
authors.initials: C
authors.lastname: Yang
mesh_terms: D035843:Biomedical Research / Q000639:trends*; D002986:Clinical Trials as Topic; D006801:Humans; D015233:Models, Statistical; D012107:Research Design