18 resultados para Direction of Arrival Estimator


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A case-referent study of occupational injuries sustained by 474 workers employed in the heavy equipment machinery industry over a two year period, 1985-1986, was undertaken to examine the association of occupational injuries with non-work-related morbidity. Its specific aim was to evaluate whether employees who experienced a work-related injury had an increased prevalence of non-work-related morbidity, specifically for injuries, cardiovascular disease, mental disorders, all other disease outcomes and total morbidity, compared to employees who did not experience a work-related injury. In order to determine the direction of the relationship, the use of the previous calendar year was employed to assess non-work-related morbidity. A secondary objective of the study was the evaluation of the utility of two existing data sources, workers' compensation and group health insurance claims, and the feasibility of conducting studies based on these data.^ The association of non-work-related non-back injuries and subsequent occupational injury was statistically significant (OR = 1.31, 95% CI 1.02-1.67) for all WC claims. The strength of the association was supported by the elevated odds ratio for non-work-related injuries when severity of occupational injury was assessed by WC claim costs of $100 and greater (OR = 1.47, 1.09--1.97), and by lost workdays (OR = 1.37). Factors that predispose an individual to a non-back injury, such as personal attributes and lifestyle characteristics, also influence that individual's risk of subsequent occupational injury. These factors may be reflected in an employee's reaction to life stressors which influence susceptibility to injury. The role of employee assistance programs as a component of injury prevention strategies is suggested.^ An increased but nonsignificant prevalence of non-work-related injuries, cardiovascular disease, mental disorders, and other morbidity conditions was noted among cases. These findings do not provide support of a causal factor in the etiology of occupational injuries. In contrast to non-back injuries, these conditions are chronic in nature and their influence on risk of occupational injuries uncertain.^ In general, cases tended to file more group health insurance claims for other morbidity than did referents. The association with increased total morbidity was consistent whether worker compensation claims were analyzed by total number of claims, claims with costs of $100 and greater, or by lost workdays. Whether persons who sustained an occupational injury were in fact in poor general health than referents, warrant further investigation. ^

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The problem of analyzing data with updated measurements in the time-dependent proportional hazards model arises frequently in practice. One available option is to reduce the number of intervals (or updated measurements) to be included in the Cox regression model. We empirically investigated the bias of the estimator of the time-dependent covariate while varying the effect of failure rate, sample size, true values of the parameters and the number of intervals. We also evaluated how often a time-dependent covariate needs to be collected and assessed the effect of sample size and failure rate on the power of testing a time-dependent effect.^ A time-dependent proportional hazards model with two binary covariates was considered. The time axis was partitioned into k intervals. The baseline hazard was assumed to be 1 so that the failure times were exponentially distributed in the ith interval. A type II censoring model was adopted to characterize the failure rate. The factors of interest were sample size (500, 1000), type II censoring with failure rates of 0.05, 0.10, and 0.20, and three values for each of the non-time-dependent and time-dependent covariates (1/4,1/2,3/4).^ The mean of the bias of the estimator of the coefficient of the time-dependent covariate decreased as sample size and number of intervals increased whereas the mean of the bias increased as failure rate and true values of the covariates increased. The mean of the bias of the estimator of the coefficient was smallest when all of the updated measurements were used in the model compared with two models that used selected measurements of the time-dependent covariate. For the model that included all the measurements, the coverage rates of the estimator of the coefficient of the time-dependent covariate was in most cases 90% or more except when the failure rate was high (0.20). The power associated with testing a time-dependent effect was highest when all of the measurements of the time-dependent covariate were used. An example from the Systolic Hypertension in the Elderly Program Cooperative Research Group is presented. ^

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Pitx2, a paired-related homeobox gene that is mutated in human Rieger Syndrome, plays a key role in transferring the early asymmetric signals to individual organs. Pitx2 encodes three isoforms, Pitx2a, Pitx2b and Pitx2c. I found that Pitx2c was the Pitx2 isoform for regulating left-right asymmetry in heart, lung and the predominant isoform in guts. Previous studies suggested that the generation of left-right asymmetry within individual organs is an all or none, random event. Phenotypic analysis of various Pitx2 allelic combinations, that encode graded levels of Pitx2c, reveals an organ-intrinsic mechanism for regulating left-right asymmetric morphogenesis based on differential response to Pitx2c levels. The heart needs low Pitx2c levels, while the lungs and duodenum require higher doses of Pitx2c. In addition, the duodenal rotation is under strict control of Pitx2c activity. Left-right asymmetry development for aortic arch arteries involves complex vascular remodeling. Left-sided expression of Pitx2c in these developing vessels implied its potential function in this process. In order to determine if Pitx2c also can regulate the left-right asymmetry of the aortic arch arteries, a Pitx2c-specific loss of function mutation is generated. Although in wild type mice, the direction of the aortic arch is always oriented toward the left side, the directions of the aortic arches in the mutants were randomized, showing that Pitx2c also determined the left-right asymmetry of these vessels. I have further showed that the cardiac neural crest wasn't involved in this vascular remodeling process. In addition, all mutant embryos had Double Outlet Right Ventricle (DORV), a common congenital heart disease. This study provided insight into the mechanism of Pitx2c-mediated late stages of left-right asymmetry development and identified the roles of Pitx2c in regulation of aortic arch remodeling and heart development. ^