Clinical applications of power vectors

Research output: Contribution to journalArticle

33 Citations (Scopus)

Abstract

The study of infant vision is closely coupled to the study of the refraction, change in refraction over time, and the effect of spectacle correction on visual development. Frequently, reports are limited to descriptions of spherical equivalent or cylinder power without regard to axis, as data are frequently collected in the clinical format of sphere, cylinder, and axis (S, C, A). Conversion from clinical notation to a power vector representation of refraction allows unambiguous description of how refractions change over time and differ between repeated measurements. This article presents a series of examples of Microsoft Excel spreadsheet formulas that make the conversion from clinical notation to power vector format, and provides examples of useful applications of these methods.

Original languageEnglish (US)
Pages (from-to)599-602
Number of pages4
JournalOptometry and Vision Science
Volume86
Issue number6
DOIs
StatePublished - Jun 2009

Fingerprint

Power (Psychology)

Keywords

  • Clinical research
  • Infant vision
  • Refractive error measurement
  • Statistical methods in vision research

ASJC Scopus subject areas

  • Ophthalmology
  • Optometry

Cite this

Clinical applications of power vectors. / Miller, Joseph M.

In: Optometry and Vision Science, Vol. 86, No. 6, 06.2009, p. 599-602.

Research output: Contribution to journalArticle

@article{31946c18ff9b4173826c66f2f1cc5e9f,
title = "Clinical applications of power vectors",
abstract = "The study of infant vision is closely coupled to the study of the refraction, change in refraction over time, and the effect of spectacle correction on visual development. Frequently, reports are limited to descriptions of spherical equivalent or cylinder power without regard to axis, as data are frequently collected in the clinical format of sphere, cylinder, and axis (S, C, A). Conversion from clinical notation to a power vector representation of refraction allows unambiguous description of how refractions change over time and differ between repeated measurements. This article presents a series of examples of Microsoft Excel spreadsheet formulas that make the conversion from clinical notation to power vector format, and provides examples of useful applications of these methods.",
keywords = "Clinical research, Infant vision, Refractive error measurement, Statistical methods in vision research",
author = "Miller, {Joseph M}",
year = "2009",
month = "6",
doi = "10.1097/OPX.0b013e3181a6a211",
language = "English (US)",
volume = "86",
pages = "599--602",
journal = "Optometry and Vision Science",
issn = "1040-5488",
publisher = "Lippincott Williams and Wilkins",
number = "6",

}

TY - JOUR

T1 - Clinical applications of power vectors

AU - Miller, Joseph M

PY - 2009/6

Y1 - 2009/6

N2 - The study of infant vision is closely coupled to the study of the refraction, change in refraction over time, and the effect of spectacle correction on visual development. Frequently, reports are limited to descriptions of spherical equivalent or cylinder power without regard to axis, as data are frequently collected in the clinical format of sphere, cylinder, and axis (S, C, A). Conversion from clinical notation to a power vector representation of refraction allows unambiguous description of how refractions change over time and differ between repeated measurements. This article presents a series of examples of Microsoft Excel spreadsheet formulas that make the conversion from clinical notation to power vector format, and provides examples of useful applications of these methods.

AB - The study of infant vision is closely coupled to the study of the refraction, change in refraction over time, and the effect of spectacle correction on visual development. Frequently, reports are limited to descriptions of spherical equivalent or cylinder power without regard to axis, as data are frequently collected in the clinical format of sphere, cylinder, and axis (S, C, A). Conversion from clinical notation to a power vector representation of refraction allows unambiguous description of how refractions change over time and differ between repeated measurements. This article presents a series of examples of Microsoft Excel spreadsheet formulas that make the conversion from clinical notation to power vector format, and provides examples of useful applications of these methods.

KW - Clinical research

KW - Infant vision

KW - Refractive error measurement

KW - Statistical methods in vision research

UR - http://www.scopus.com/inward/record.url?scp=68049086801&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=68049086801&partnerID=8YFLogxK

U2 - 10.1097/OPX.0b013e3181a6a211

DO - 10.1097/OPX.0b013e3181a6a211

M3 - Article

C2 - 19390467

AN - SCOPUS:68049086801

VL - 86

SP - 599

EP - 602

JO - Optometry and Vision Science

JF - Optometry and Vision Science

SN - 1040-5488

IS - 6

ER -