A primer on common statistical errors in clinical ophthalmology.
Although biomedical statistics is part of any scientific curriculum, a review of the current scientific literature indicates that statistical data analysis is an area that frequently needs improvement. To address this, we here cover some of the most common problems in statistical analysis, with an emphasis on an intuitive, tutorial approach rather than a rigorous, proof-based one. The topics covered in this manuscript are whether to enter eyes or patients into the analysis, issues related to multiple testing, pitfalls surrounding the correlation coefficient (causation, insensitivity to patterns, range confounding, unsuitability for method comparisons), and when to use standard deviation (SD) versus standard error of the mean (SEM) "antennas" on graphs.
Department of Ophthalmology, New York University School of Medicine, 462 First Avenue, New York, NY 10016, USA. kh19@nyu.edu
Karen
K
Holopigian
Michael
M
Bach
D000328:Adult; D000368:Aged; D003627:Data Interpretation, Statistical; D006801:Humans; D008875:Middle Aged; D015233:Models, Statistical; D009885:Ophthalmology / Q000706:statistics & numerical data*; D055815:Young Adult