Your browser doesn't support javascript.
loading
Mediation analysis using incomplete information from publicly available data sources.
Derkach, Andriy; Kantor, Elizabeth D; Sampson, Joshua N; Pfeiffer, Ruth M.
Afiliação
  • Derkach A; Department of Epidemiology and Biostatistics, Memorial Sloan-Kettering Cancer Center, New York, New York.
  • Kantor ED; Department of Epidemiology and Biostatistics, Memorial Sloan-Kettering Cancer Center, New York, New York.
  • Sampson JN; Division of Cancer Epidemiology and Genetics, National Cancer Institute, National Institutes of Health, Rockville, Maryland.
  • Pfeiffer RM; Division of Cancer Epidemiology and Genetics, National Cancer Institute, National Institutes of Health, Rockville, Maryland.
Stat Med ; 43(14): 2695-2712, 2024 Jun 30.
Article em En | MEDLINE | ID: mdl-38606437
ABSTRACT
Our work was motivated by the question whether, and to what extent, well-established risk factors mediate the racial disparity observed for colorectal cancer (CRC) incidence in the United States. Mediation analysis examines the relationships between an exposure, a mediator and an outcome. All available methods require access to a single complete data set with these three variables. However, because population-based studies usually include few non-White participants, these approaches have limited utility in answering our motivating question. Recently, we developed novel methods to integrate several data sets with incomplete information for mediation analysis. These methods have two

limitations:

(i) they only consider a single mediator and (ii) they require a data set containing individual-level data on the mediator and exposure (and possibly confounders) obtained by independent and identically distributed sampling from the target population. Here, we propose a new method for mediation analysis with several different data sets that accommodates complex survey and registry data, and allows for multiple mediators. The proposed approach yields unbiased causal effects estimates and confidence intervals with nominal coverage in simulations. We apply our method to data from U.S. cancer registries, a U.S.-population-representative survey and summary level odds-ratio estimates, to rigorously evaluate what proportion of the difference in CRC risk between non-Hispanic Whites and Blacks is mediated by three potentially modifiable risk factors (CRC screening history, body mass index, and regular aspirin use).
Assuntos
Palavras-chave

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Neoplasias Colorretais / Análise de Mediação Limite: Female / Humans País/Região como assunto: America do norte Idioma: En Revista: Stat Med Ano de publicação: 2024 Tipo de documento: Article

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Neoplasias Colorretais / Análise de Mediação Limite: Female / Humans País/Região como assunto: America do norte Idioma: En Revista: Stat Med Ano de publicação: 2024 Tipo de documento: Article