A nonparametric test for observational non-normally distributed ophthalmic data with eye-specific exposures and outcomes.
A nonparametric test for observational non-normally distributed ophthalmic data with eye-specific exposures and outcomes.
复制标题
对具有眼睛特定暴露和结果的观察性非正态分布眼科数据进行非参数检验。
DOI:
10.1080/09286580701396704
复制
发表时间:
2007
影响因子:
1.8
通讯作者:
Lee,Mei-LingT
中科院分区:
文献类型:
--
作者:
Rosner,Bernard;Glynn,RobertJ;Lee,Mei-LingT
PurposeTo extend the Wilcoxon rank sum test to the analysis of clustered observational data with a binary exposure variable where not all cluster members (or subunits) have the same exposure status, as in ophthalmologic data where fellow eyes may differ in exposure status.MethodsThe Wilcoxon rank sum test statistic (Wc) is defined as the sum of ranks of all exposed subunits over all clusters. The large sample distribution ofWcis derived based on a two-stage permutation distribution approach which maintains the clustering structure of the exposure distribution in the original data. The procedure is applied to data from the Wisconsin Epidemiologic Study of Diabetic Retinopathy (WESDR) for assessing differences in retinopathy grade between eyes with high vs. low intraocular pressure (IOP).ResultsData analyses based on the WESDR data indicate significant positive associations between IOP and retinopathy grade as assessed by the clustered Wilcoxon test (p= 0.019), but non-significant effects with mixed model procedures based on raw scores (p= 0.30).ConclusionsThe clustered Wilcoxon procedure is an effective approach for analyzing clustered non-normal outcome data with a binary eye-specific exposure which may vary in 2 eyes of an individual.