A class of residuals for outlier identification in zero adjusted regression models.

Zero adjusted regression models are used to fit variables that are discrete at zero and continuous at some interval of the positive real numbers. Diagnostic analysis in these models is usually performed using the randomized quantile residual, which is useful for checking the overall adequacy of a zero adjusted regression model. However, it may fail to identify some outliers.

[Surgical treatment of giant emphysematous lung bullae].

Objective: Lack of Brazilian publications regarding this disease in Brazil led us to perform the current work to describe the historical evolution and to analyze results of the surgical treatment of Giant Emphysematous Lung Bullae at the Santa Casa de São Paulo.

Methods: We have retrospectively assessed, between January 1979 and June 2005, the medical records of 83 patients submitted to one of four surgical modalities: the thoracoscopic bullectomy, VATS bullectomy, VATS bullae drainage and bullae drainage with local anesthesia, totaling 92 surgeries. Parameters analyzed were hospitalization time, post-surgical complications, perioperative and late mortality in addition to clinical and functional pre- and post- surgical parameters.

[Additional cardiovascular risk factors associated with excess weight in children and adolescents: the Belo Horizonte heart study].

Objective: To examine the association of overweight and obesity with physical activity, blood pressure (BP) and serum lipid profiles.

Methods: Epidemiologic investigation of 1,450 students, between the ages of 6 and 18, in the city of Belo Horizonte, MG.

Data: weight, height, BP, skinfold thickness, waist circumference, physical activity, total cholesterol (TC), LDL-c, HDL-c, and dietary habits.

[Epidemiology of facial trauma].

Objectives: This study aims to determine the incidence, etiology, severity of facial trauma and associated injuries enabling a greater understanding of its range and magnitude

Methods: A hundred and sixty four patients were selected with some degree of facial trauma regardless of gender, age and skin color. Data were analyzed by the Pearson chi2 statistical method.

Results: A male predominance was observed (78%) and its peak age was between 20 and 39 years.

A longitudinal study of mortality and air pollution for São Paulo, Brazil.

We study the effects of various air-pollution variables on the daily death counts for people over 65 years in São Paulo, Brazil, from 1991 to 1993, controlling for meteorological variables. We use a state space model where the air-pollution variables enter via the latent process, and the meteorological variables via the observation equation. The latent process represents the potential mortality due to air pollution, and is estimated by Kalman filter techniques.