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Akademický článek

The COVID‐19 pandemic and associated declines in cancer incidence by race/ethnicity and census‐tract level SES, rurality, and persistent poverty status

Autor: Benmei Liu, Mandi Yu, Jeffrey Byrne, Katheen A. Cronin, Eric J. Feuer

Publikováno v: Cancer Medicine, Vol 13, Iss 17, Pp n/a-n/a (2024)

Abstract Background The COVID‐19 pandemic had a significant impact on cancer screening and treatment, particularly in 2020. However, no single study has comprehensively analyzed its effects on cancer incidence and disparities among groups such as r

Externí odkaz: https://doaj.org/article/4833ec709bdf49a8add96d38896989be

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Akademický článek

Comparisons of individual- and area-level socioeconomic status as proxies for individual-level measures: evidence from the Mortality Disparities in American Communities study

Autor: Jennifer L. Moss, Norman J. Johnson, Mandi Yu, Sean F. Altekruse, Kathleen A. Cronin

Publikováno v: Population Health Metrics, Vol 19, Iss 1, Pp 1-10 (2021)

Abstract Background Area-level measures are often used to approximate socioeconomic status (SES) when individual-level data are not available. However, no national studies have examined the validity of these measures in approximating individual-level

Externí odkaz: https://doaj.org/article/bfe77569c37c41729fd57e72ba40f7fc

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Akademický článek

Effects of Buffer Size and Shape on the Association of Neighborhood SES and Adult Fruit and Vegetable Consumption

Autor: Minal Patel, April Y. Oh, Laura A. Dwyer, Heather D'Angelo, David G. Stinchcomb, Benmei Liu, Mandi Yu, Linda C. Nebeling

Publikováno v: Frontiers in Public Health, Vol 9 (2021)

Introduction: Neighborhood environment factors are relevant for dietary behaviors, but associations between home neighborhood context and disease prevention behaviors vary depending on the definition of neighborhood. The present study uses a publicly

Externí odkaz: https://doaj.org/article/9d6f2d7fca98490e9679f48708a197e6

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Akademický článek

A nonparametric multiple imputation approach for missing categorical data

Autor: Muhan Zhou, Yulei He, Mandi Yu, Chiu-Hsieh Hsu

Publikováno v: BMC Medical Research Methodology, Vol 17, Iss 1, Pp 1-12 (2017)

Abstract Background Incomplete categorical variables with more than two categories are common in public health data. However, most of the existing missing-data methods do not use the information from nonresponse (missingness) probabilities. Methods W

Externí odkaz: https://doaj.org/article/ad8996e5cfe64892a7315342642df041

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Akademický článek

Improved Monte Carlo methods for estimating confidence intervals for eleven commonly used health disparity measures.

Autor: Jaeil Ahn, Sam Harper, Mandi Yu, Eric J Feuer, Benmei Liu

Publikováno v: PLoS ONE, Vol 14, Iss 7, p e0219542 (2019)

Health disparities are commonplace and of broad interest to policy makers, but are also challenging to measure and communicate. The Health Disparity Calculator software (HD*Calc, v1.2.4) offers Monte Carlo simulation (MCS)-based confidence interval (

Externí odkaz: https://doaj.org/article/6bdc24a4f805414ea1b0987711982be9

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Developing Geographic Areas for Cancer Reporting Using Automated Zone Design

Autor: Zaria, Tatalovich, David G, Stinchcomb, Diane, Ng, Mandi, Yu, Denise R, Lewis, Li, Zhu, Eric J Rocky, Feuer

Publikováno v: American Journal of Epidemiology. 191:2109-2119

The reporting and analysis of population-based cancer statistics in the United States has traditionally been done for counties. However, counties are not ideal for analysis of cancer rates, due to wide variation in population size, with larger counti

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::3cfddb95e1d27aeda5038b129dfd3477
https://doi.org/10.1093/aje/kwac155

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