Statistical approaches to assessing single and multiple outcome measures in dry eye therapy and diagnosis

Alan Tomlinson*, Mario Hair, Angus McFadyen

*Corresponding author for this work

Research output: Contribution to journalReview articlepeer-review

13 Citations (Scopus)

Abstract

Dry eye is a multifactorial disease which would require a broad spectrum of test measures in the monitoring of its treatment and diagnosis. However, studies have typically reported improvements in individual measures with treatment. Alternative approaches involve multiple, combined outcomes being assessed by different statistical analyses. In order to assess the effect of various statistical approaches to the use of single and combined test measures in dry eye, this review reanalyzed measures from two previous studies (osmolarity, evaporation, tear turnover rate, and lipid film quality). These analyses assessed the measures as single variables within groups, pre- and post-intervention with a lubricant supplement, by creating combinations of these variables and by validating these combinations with the combined sample of data from all groups of dry eye subjects. The effectiveness of single measures and combinations in diagnosis of dry eye was also considered.
Original languageEnglish
Pages (from-to)267-284
Number of pages18
JournalOcular Surface
Volume11
Issue number4
Early online date9 Jul 2013
DOIs
Publication statusPublished - Oct 2013

Keywords

  • Dry eye
  • Outcome measures
  • Statistical analysis
  • Tear physiology

ASJC Scopus subject areas

  • Ophthalmology

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