z-logo
open-access-imgOpen Access
N-of-1 Clinical Trials: Removing the Hay to Find the Needle
Author(s) -
Frederick G. Strathmann
Publication year - 2015
Publication title -
clinical chemistry
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.705
H-Index - 218
eISSN - 1530-8561
pISSN - 0009-9147
DOI - 10.1373/clinchem.2015.245928
Subject(s) - clinical trial , sample size determination , inference , statistical inference , selection (genetic algorithm) , statistics , population , statistical power , medicine , sample (material) , medical physics , computer science , mathematics , artificial intelligence , pathology , chemistry , environmental health , chromatography
Selection of a proper sample size is an important concept in statistics. Typically, the larger the number of included subjects, the better the ability to make an accurate inference about the population. Numerous methods exist for determining the proper sample size to help balance the desired statistical power with the need to be realistic in how many subjects can be recruited. But the recognition of individual variability, with the well-known limitations of classic clinical trials to predict patient outcomes, has shed light on the growing need to refocus on single-person studies.N -of-1 or single-subject clinical trials use observations from a single patient to establish efficacy or side-effect profiles (1). The renewed interest in N -of-1 clinical trials stems from an observed …

The content you want is available to Zendy users.

Already have an account? Click here to sign in.
Having issues? You can contact us here
Accelerating Research

Address

John Eccles House
Robert Robinson Avenue,
Oxford Science Park, Oxford
OX4 4GP, United Kingdom