Df. Percy et Tj. Hine, MULTIVARIATE-ANALYSIS OF CHOLESTEROL DISTRIBUTION FOR MONITORING THE RISK OF CORONARY HEART-DISEASE, Statistics in medicine, 12(10), 1993, pp. 967-974
Citations number
15
Categorie Soggetti
Statistic & Probability","Medicine, Research & Experimental","Public, Environmental & Occupation Heath","Statistic & Probability
The screening of people for potential coronary heart disease and the m
onitoring of subjects considered at risk have been performed for some
time by measuring total serum cholesterol and its constituent lipoprot
eins. However, these measurements vary substantially within subjects,
making such assessments imprecise. It has been suggested that greater
consistency can be achieved by analysing the joint distribution of the
individual lipoproteins or of transformed variables derived from them
. In this paper we present the results of a laboratory experiment to i
nvestigate these ideas with a view to improving current methods of mon
itoring patients at risk. Nested, random-effects, multivariate analysi
s of variance and the log-ratio analysis of compositions are used to i
nclude information on all three lipoproteins simultaneously, and ratio
s of generalized variances are used to assess and compare the differen
t response variables. The multivariate approach is seen to be far supe
rior to the usual methods. Recommendations are made for routine monito
ring and the practical implications are discussed.