Statistical methods in ophthalmology: an adjustment for the intraclass correlation between eyes
B. Rosner. Biometrics, 38 (1):
105-114(March 1982)
Abstract
For the cases of normally- and binomially-distributed outcome variables, methods are presented for analyzing ophthalmologic data to which a person may have contributed two eyes worth of information, the values from the two eyes being highly correlated. A frequently-used method of analysis, where each eye is treated as an independent random variable, is shown to be invalid in the presence of intraclass correlation: it yields true p-values two to six times as large as nominal p-values when realistic assumptions are made about the degree of correlation between eyes. These results may be applicable to other medical specialties, such as otolaryngology, where highly-correlated replicate observations are obtained from individuals.
Description
Statistical methods in ophthalmology: an adjustment for the intraclass correlation between eyes. - PubMed - NCBI
%0 Journal Article
%1 Rosner:1982:Biometrics:7082754
%A Rosner, B
%D 1982
%J Biometrics
%K CorrelatedData ophthalmology statistics
%N 1
%P 105-114
%T Statistical methods in ophthalmology: an adjustment for the intraclass correlation between eyes
%U https://www.ncbi.nlm.nih.gov/pubmed/7082754
%V 38
%X For the cases of normally- and binomially-distributed outcome variables, methods are presented for analyzing ophthalmologic data to which a person may have contributed two eyes worth of information, the values from the two eyes being highly correlated. A frequently-used method of analysis, where each eye is treated as an independent random variable, is shown to be invalid in the presence of intraclass correlation: it yields true p-values two to six times as large as nominal p-values when realistic assumptions are made about the degree of correlation between eyes. These results may be applicable to other medical specialties, such as otolaryngology, where highly-correlated replicate observations are obtained from individuals.
@article{Rosner:1982:Biometrics:7082754,
abstract = {For the cases of normally- and binomially-distributed outcome variables, methods are presented for analyzing ophthalmologic data to which a person may have contributed two eyes worth of information, the values from the two eyes being highly correlated. A frequently-used method of analysis, where each eye is treated as an independent random variable, is shown to be invalid in the presence of intraclass correlation: it yields true p-values two to six times as large as nominal p-values when realistic assumptions are made about the degree of correlation between eyes. These results may be applicable to other medical specialties, such as otolaryngology, where highly-correlated replicate observations are obtained from individuals.},
added-at = {2018-09-27T10:07:55.000+0200},
author = {Rosner, B},
biburl = {https://www.bibsonomy.org/bibtex/23058011befa6a397506e2be058b3e167/jkd},
description = {Statistical methods in ophthalmology: an adjustment for the intraclass correlation between eyes. - PubMed - NCBI},
interhash = {664ebdba565af2afb4ae66e67d5ac41f},
intrahash = {3058011befa6a397506e2be058b3e167},
journal = {Biometrics},
keywords = {CorrelatedData ophthalmology statistics},
month = mar,
number = 1,
pages = {105-114},
pmid = {7082754},
timestamp = {2018-09-27T10:07:55.000+0200},
title = {Statistical methods in ophthalmology: an adjustment for the intraclass correlation between eyes},
url = {https://www.ncbi.nlm.nih.gov/pubmed/7082754},
volume = 38,
year = 1982
}