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Matching analysis with your study design
Author(s) -
Kivelä Tero
Publication year - 2019
Publication title -
acta ophthalmologica
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.534
H-Index - 87
eISSN - 1755-3768
pISSN - 1755-375X
DOI - 10.1111/j.1755-3768.2019.5030
Subject(s) - table (database) , computer science , matching (statistics) , key (lock) , action (physics) , statistical analysis , data science , information retrieval , data mining , computer security , statistics , mathematics , physics , quantum mechanics
This talk will highlight some key issues in choosing statistical methods for ophthalmic research, based on personal experience of the speaker as a writer, reviewer and editorial board member. The items discussed, based on examples from recent literature, will include: (1) proper ways of summarising and comparing visual acuities; (2) proper ways of analysing data collected from both eyes of the same patients, (3) proper ways of analysing longitudinal follow‐data, and (4) proper ways of analysing contigency table data. Correct reporting and analysis of data related to the eye is not too difficult as long as one is aware of a few basic rules. Putting them into action helps to ensure that the conclusions you put forward and those that the readers draw from your study will be proper.