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pubmed-article:7151463pubmed:abstractTextThe design of optimized histogram and probability graphs needed to detect a lognormal distribution in surveys of intraocular pressure (IOP), mean ophthalmic arterial pressure (OAP) and mean ocular perfusion pressure (OPP) is described. Applications are demonstrated in a sample of 58 normal adult eyes. A lognormal distribution was found for IOP and for OAP and OPP estimates obtained with a noncontact noncompressive method. Conversely, the absence of an identifiable linear distribution for OAP and OPP estimates obtained with compression ophthalmodynamometry was noteworthy. The implications of lognormality for definitions of a normal range and for correlations involving IOP, OAP and OPP data are briefly discussed.lld:pubmed
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pubmed-article:7151463pubmed:articleTitleOptimized graphical analysis of Gaussian and lognormal assumptions for intraocular and vascular pressure distributions.lld:pubmed
pubmed-article:7151463pubmed:publicationTypeJournal Articlelld:pubmed
pubmed-article:7151463pubmed:publicationTypeResearch Support, U.S. Gov't, P.H.S.lld:pubmed
pubmed-article:7151463pubmed:publicationTypeResearch Support, Non-U.S. Gov'tlld:pubmed
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