Literature DB >> 29440042

Statistical approaches in published ophthalmic clinical science papers: a comparison to statistical practice two decades ago.

Harrison G Zhang1, Gui-Shuang Ying2.   

Abstract

The aim of this study is to evaluate the current practice of statistical analysis of eye data in clinical science papers published in British Journal of Ophthalmology (BJO) and to determine whether the practice of statistical analysis has improved in the past two decades. All clinical science papers (n=125) published in BJO in January-June 2017 were reviewed for their statistical analysis approaches for analysing primary ocular measure. We compared our findings to the results from a previous paper that reviewed BJO papers in 1995. Of 112 papers eligible for analysis, half of the studies analysed the data at an individual level because of the nature of observation, 16 (14%) studies analysed data from one eye only, 36 (32%) studies analysed data from both eyes at ocular level, one study (1%) analysed the overall summary of ocular finding per individual and three (3%) studies used the paired comparison. Among studies with data available from both eyes, 50 (89%) of 56 papers in 2017 did not analyse data from both eyes or ignored the intereye correlation, as compared with in 60 (90%) of 67 papers in 1995 (P=0.96). Among studies that analysed data from both eyes at an ocular level, 33 (92%) of 36 studies completely ignored the intereye correlation in 2017, as compared with in 16 (89%) of 18 studies in 1995 (P=0.40). A majority of studies did not analyse the data properly when data from both eyes were available. The practice of statistical analysis did not improve in the past two decades. Collaborative efforts should be made in the vision research community to improve the practice of statistical analysis for ocular data. © Article author(s) (or their employer(s) unless otherwise stated in the text of the article) 2018. All rights reserved. No commercial use is permitted unless otherwise expressly granted.

Entities:  

Keywords:  epidemiology

Mesh:

Year:  2018        PMID: 29440042      PMCID: PMC6085163          DOI: 10.1136/bjophthalmol-2017-311529

Source DB:  PubMed          Journal:  Br J Ophthalmol        ISSN: 0007-1161            Impact factor:   4.638


  17 in total

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2.  Choice of analytic approach for eye-specific outcomes: one eye or two?

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Journal:  Am J Ophthalmol       Date:  2011-11-10       Impact factor: 5.258

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Authors:  I E Murdoch; S S Morris; S N Cousens
Journal:  Br J Ophthalmol       Date:  1998-08       Impact factor: 4.638

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Authors:  Alan E Hubbard; Jennifer Ahern; Nancy L Fleischer; Mark Van der Laan; Sheri A Lippman; Nicholas Jewell; Tim Bruckner; William A Satariano
Journal:  Epidemiology       Date:  2010-07       Impact factor: 4.822

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Journal:  Br J Ophthalmol       Date:  1987-09       Impact factor: 4.638

7.  Tutorial on Biostatistics: Statistical Analysis for Correlated Binary Eye Data.

Authors:  Gui-Shuang Ying; Maureen G Maguire; Robert Glynn; Bernard Rosner
Journal:  Ophthalmic Epidemiol       Date:  2017-05-22       Impact factor: 1.648

8.  Statistical methods in ophthalmology: an adjustment for the intraclass correlation between eyes.

Authors:  B Rosner
Journal:  Biometrics       Date:  1982-03       Impact factor: 2.571

9.  Random-effects models for longitudinal data.

Authors:  N M Laird; J H Ware
Journal:  Biometrics       Date:  1982-12       Impact factor: 2.571

10.  Regression methods when the eye is the unit of analysis.

Authors:  Robert J Glynn; Bernard Rosner
Journal:  Ophthalmic Epidemiol       Date:  2012-06       Impact factor: 1.648

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