Visual assessment of endemic nephropathy markers relationship.
The aim of this paper was to assess relationship between possible endemic nephropathy (EN) markers visually by the CoPlot methodology, and to illustrate this promising data analysis approach. From 912 screened persons in 3 Croatian endemic villages, 25 persons were diagnosed as confirmed EN patients, 371 as non-EN, and the remainder were classified as suspected of having EN, or at risk. Data on 25 confirmed EN patients were matched with appropriate non-EN examinees. All records with missing data were excluded, resulting in 35 subjects with complete data on the 13 key EN variables for CoPlot mapping. CoPlot solution met the accepted goodness of fit measure thresholds. Result showed relationship between EN markers, identifying some nearly duplicated variables, and possible outliers needing some subsequent analysis.
Sonicki
Zdenko
Z
Andrija Stampar School of Public Health, Medical School, University of Zagreb, 10000 Zagreb, Croatia. Zdenko.Sonicki@snz.hr
Cvitković
Ante
A
Edwards
Karen L
KL
Miletić-Medved
Marica
M
Cvorisćec
Dubravka
D
Babus
Vladimir
V
Jelaković
Bojan
B
D001449:Balkan Nephropathy / Q000175:diagnosis* / Q000453:epidemiology / Q000503:physiopathology; D015415:Biomarkers; D017523:Croatia / Q000453:epidemiology; D003626:Data Display; D003937:Diagnosis, Differential; D006801:Humans; D008403:Mass Screening; D015999:Multivariate Analysis; D011159:Population Surveillance / Q000379:methods*
D015415:Biomarkers