Geocoding and monitoring of US socioeconomic inequalities in mortality and cancer incidence: does the choice of area-based measure and geographic level matter?: the Public Health Disparities…

By N. Krieger, Jarvis T. Chen, Pamela Waterman, Mah-Jabeen Soobader, S. Subramanian, Rosa Carson. American Journal of Epidemiology, 2002

1,199 citations recorded by the source corpus.

Subfields: Epidemiology, Health, Oncology

View Paper: https://www.semanticscholar.org/paper/12bc122a77875eed8ab15574c8144f134a7f8c47

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Epidemiology

1. A. Jemal
2. Elizabeth E. Ward
3. N. Krieger
4. M. Thun
5. J. Lynch
6. E. Calle
7. R. Siegel

In Health

1. R. Tchernis
2. Joseph W. Hogan
3. S. Subramanian
4. Jarvis T. Chen
5. Pamela Waterman
6. A. Jemal
7. J. Lynch
8. N. Krieger

In Oncology

1. A. Jemal
2. R. Siegel
3. Elizabeth E. Ward
4. M. Thun
5. E. Calle
6. K. Miller
7. F. Bray
8. J. Ferlay

Citations in the corpus

• US incidence of breast cancer subtypes defined by joint hormone receptor and HER2 status. (2014, methodology): “Cutpoints based on empirical research and policy relevance (17,18) were used to create three levels for this variable (ie, poverty <10.”
• Spatial Analysis of Air Pollution and Mortality in Los Angeles (2005, methodology): “We also computed principal components of all 8 variables to provide maximal control for confounding while avoiding multicollinearity among the ecologic variables.(27,28)”
• Is income inequality a determinant of population health? Part 1. A systematic review. (2004, background): “Census can be highly correlated (Geronimus and Bound 1998; Krieger et al. 2002) and present empirical challenges in trying to disentangle their separate effects.”
• Bayesian Factor Analysis for Spatially Correlated Data, With Application to Summarizing Area-Level Material Deprivation From Census Data (2004, methodology): “…indices, usually constructed as unweighted sums of census variables, are used for health services resource allocation and as proxies of socioeconomic position in epidemiologic research, and more recently have been proposed as public health monitoring tools for small areas (Krieger et al. 2002).”
• Impact of socioeconomic status on cancer incidence and stage at diagnosis: selected findings from the surveillance, epidemiology, and end results: National Longitudinal Mortality Study (2008, methodology): “, county, zip code, census tract, or block group) appended to cancer and other disease/health records to analyze socioeconomic disparities [23-28].”
• Cancer Disparities by Race/Ethnicity and Socioeconomic Status (2004, background): “This measure has several advantages as an index of socioeconomic inequalities in health.(18) It is an easily understood measure of poverty at the census tract or county level.”
• Race/ethnicity, gender, and monitoring socioeconomic gradients in health: a comparison of area-based socioeconomic measures--the public health disparities geocoding project. (2003, methodology): “Data on race/ethnicity, gender, and age were reported by the next of kin or recorded by the funeral director for the death data and were abstracted by registry staff from medical records for the cancer data.(24,29,30,32,33) For birth certificate data, mother’s race/ethnicity and age were obtained by”