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autosomal recessive disorder that may be homozygous (HbSS) or, less frequently, may be heterozygous with a C-type hemoglobin and a variety of other variants (Schatz & McClellan, 2006) Sickle cell is most frequent among people of African descent with an incidence of 1 in every 350 births; it also occurs in individuals of Caribbean, Asian, Middle Eastern, and Mediterranean descent but with less frequency (Angastiniotis & Modell, 1998) The primary result of sickle cell disease is that of chronic anemia Complications associated with sickle cell include infarction of major cerebral arteries, silent infarcts, chronic anemia, and low oxygenation (anoxia) due to poor pulmonary functioning and oxygen saturation; 5% to 10% of children under age 15 years with sickle cell are at risk for infarct (R T Brown, Armstrong, & Eckman, 1993; Schatz & McClellan, 2006; Wang, 2007) In addition, 16% to 22% evidence silent infarct on radiology (Hindmarsh et al.

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This Print Statement will print to MyFile on the C: drive. Each time you apply your code with this Print Statement to a chart, MyFile will be deleted and recreated and printed to. After the analysis technique is applied, the file can then be opened with a word processor, emailed to others, copied to a disk, or anything else you can do with a file. This is a powerful tool for creating reports and analysis. Table 7.3 is a sample of the output that we created with our CreateReport program.

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, 1977; Pavlakis et al, 1988; Pegalow, Macklin, Moser, & Names, 2002; Wang et al, 2001) Based on autopsy results, histological ndings indicate stenosis of the large cerebral arteries (Koshy, Thomas, & Goodwin, 1990); infarcts predominantly occur in the anterior brain regions (Pavlakis et al, 1988) In effect, the infarction is most likely to occur in the areas supplied by the distal branches of the internal carotid artery Silent infarcts can be identi ed due to the diffuse scars in the deep white matter and cerebral gray matter; they likely represent lesions in the smaller arteries Some of the mechanisms by which sickle cell disease increases the likelihood of infarct have been identi ed First, the sickle cells, by virtue of their shape, are likely to stick together and adhere to the endothelial cells.

10 Haughton (1997) reviews standard and specialized software solutions to the problem of coef cient estimation for nite mixture distributions.

It is believed that this is in conjunction with impaired nitric oxide production and increased consumption that leads to cycles of hypoxia and reoxygenation (Kaul, Liu, Fabry, & Nagel, 2000) A second mechanism implicated is the coagulation system with increased surface-dependent coagulation reactions (Kuypers et al, 1996) and elevated platelet levels (R B Francis, Jr, 1991) It has been suggested that the increased cell adhesion and increased stress due to anemia initiates the injury to the endothelial cells of the cerebral arteries, setting the stage for the infarct (Hillery & Panepinto, 2004) At the same time, there are oxidative uctuations, vasodilation and increased perfusion as a result of the anemia, and increased likelihood of infarct in both large and small vessels In addition to the illness-related consequences of sickle cell disease, environment and socioeconomic status also contribute to the variance in outcome (Tarazi, Grant, Ely, & Barakat, 2007)..

Recall the discussion of the Pearson family of densities from 2 and Appendix 1 of that chapter These are readily used as a generalization of the normal density The Pearson family remained a theoretical curiosity for the last century from the viewpoint of nance However, thanks to modern computers and software tools, the Pearson members have become practical for applications in nance Rose and Wood (2002, ch 5) discuss computer tools for estimating in a fairly mechanical fashion any member of Pearson types I to VII from data on excess returns The software rst estimates the moments of the density and plots a graph of skewness parameter versus kurtosis parameter on the two axes The software also indicates from that plot which Pearson type the data belongs to The user speci es the type, and software ts it to the data.

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