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ABSTRACT: Research focused on understanding how and why cognitive trajectories differ across racial and ethnic groups can be compromised by several possible methodological challenges. These difficulties are especially relevant in research on racial and ethnic disparities and neuropsychological outcomes because of the particular influence of selection and measurement in these contexts. In this article, we review the counterfactual framework for thinking about causal effects versus statistical associations. We emphasize that causal inferences are key to predicting the likely consequences of possible interventions, for example in clinical settings. We summarize a number of common biases that can obscure causal relationships, including confounding, measurement ceilings/floors, baseline adjustment bias, practice or retest effects, differential measurement error, conditioning on common effects in direct and indirect effects decompositions, and differential survival. For each, we describe how to recognize when such biases may be relevant and some possible analytic or design approaches to remediating these biases.
Neuropsychology Review 10/2008; 18(3):194-213. · 6.62 Impact Factor
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ABSTRACT: To test whether reported associations between race/ethnicity and breast cancer estrogen receptor (ER) status are inflated due to missing ER data, lack of socioeconomic data, and use of the odds ratio (OR) rather than the prevalence ratio (PR).
We geocoded and added census tract socioeconomic data to all cases of primary invasive breast cancer (n = 42,420) among women diagnosed between 1998 and 2002 in two California cancer registries (San Francisco Bay Area; Los Angeles County) and analyzed the data using log binomial regression.
Adjusting for socioeconomic position and tumor characteristics, in models using the imputed data, reduced the PR for the black versus white excess risk of being ER--from 1.76 (95% CI: 1.66, 1.86; adjusted for age and catchment area) to 1.47 (95% CI: 1.38, 1.56). The latter parameter estimate was 16% greater (i.e., 1.56) in models excluding women with missing ER data, and was 43% greater when estimated using the OR (i.e., 1.82).
Studies on race/ethnicity and ER status that fail to account for missing data and socioeconomic data and report the OR are likely to yield inflated estimates of racial/ethnic disparities in ER status.
Cancer Causes and Control 09/2008; 19(10):1305-18. · 2.88 Impact Factor
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ABSTRACT: Therapeutic embolization is a common procedure in interventional radiology. A wide variety of agents are available, and each has its own place and use. Additionally, many new agents have appeared on the market in the past several years. The aim of this review article is to give a brief description of available agents, guide appropriate selection, and familiarize the reader regarding appropriate use and limitations.
Seminars in Interventional Radiology 09/2008; 25(3):204-15.
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ABSTRACT: We investigated the extent to which smoking status was associated with exposure to occupational (e.g., dust, chemicals, noise, and ergonomic strain) and social (e.g., abuse, sexual harassment, and racial discrimination) workplace hazards in a sample of U.S. multiethnic working-class adults.
United for Health is a cross-sectional study designed to investigate the combined burden of occupational and social workplace hazards in relation to race/ethnicity, gender, and wage and to evaluate related health effects in a working-class population. Using validated measures, we collected data from 1,282 multiethnic working-class participants using audio computer-assisted interviews. We used multiple imputation methods to impute data for those missing data. Crude and adjusted logistic odds ratios (ORs) were modeled to estimate ORs and 95% confidence intervals (CIs).
The prevalence of smoking was highest among non-Hispanic white workers (38.3%) and lowest for foreign-born workers (13.1%). We found an association between racial discrimination and smoking (OR = 1.12, 95% CI 1.01, 1.25). The relationship between smoking and sexual harassment, although not significant, was different for black women compared with men (OR = 1.79, 95% CI 0.99, 3.22). We did not find any associations by workplace abuse or by any of the occupational hazards.
These results indicate that racial discrimination might be related to smoking in working-class populations and should be considered in tobacco-control efforts that target this high-risk population.
Public Health Reports 125(2):225-33. · 1.27 Impact Factor
