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Lipoprotein(a) as a predictor of poor collateral circulation in patients with chronic stable coronary heart disease BJMBR
Fan,Y.; Hu,J.-S.; Guo,F.; Lu,Z.-B.; Xia,H..
As a mechanism compensating for obstructive coronary artery disease, coronary collateral circulation (CCC) has attracted cardiologists for a long time to explore its potential impact. In the present study, Chinese patients suffering from ≥95% coronary stenosis, as diagnosed by angiography, have been investigated for the correlation between CCC and lipoprotein(a) [Lp(a)] levels. A cohort of 654 patients was divided into four categories according to Rentrop grades 0, 1, 2, and 3. Lp(a) levels were divided into model 1, discretized with critical values of 33 and 66%, and model 2, discretized with a cutoff value of 30.0 mg/dL. Furthermore, we evaluated the correlation between CCC and serum Lp(a) levels. The four groups had significantly different Lp(a) levels...
Tipo: Info:eu-repo/semantics/article Palavras-chave: Lipoprotein(a); Coronary collateral circulation; Predictor.
Ano: 2017 URL: http://www.scielo.br/scielo.php?script=sci_arttext&pid=S0100-879X2017000800606
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ON THE ESTIMATION AND PREDICTION IN MIXED LINEAR MODELS Scientia Agricola
LÓPEZ,L.A.; IEMMA,A.F..
Beginning with the classical Gauss-Markov Linear Model for mixed effects and using the technique of the Lagrange multipliers to obtain an alternative method for the estimation of linear predictors. A structural method is also discussed in order to obtain the variance and covariance matrixes and their inverses.
Tipo: Info:eu-repo/semantics/article Palavras-chave: Linear model; Mixes effect; Predictor; Estimator.
Ano: 1998 URL: http://www.scielo.br/scielo.php?script=sci_arttext&pid=S0103-90161998000200019
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