Collection

Special Issue: Novel Statistical Approaches for Modeling Exposure Mixtures and Health Outcomes

Submission status
Closed

Recent literature has seen an increased interest in modeling numerous exposures and their relations with various health outcomes. For example, cancer epidemiologists are often interested in human exposures to environmental pollutants and their associations with mortality and morbidity of lung cancer, and researchers in human reproduction are interested in how maternal metabolites are associated with neonatal anthropometries. Common challenges in these analyses include numerous potential exposures of interest, high degrees of correlation between some of these exposures, non-uniform data distributions, non-linear relationships between exposures and outcomes as well as complex interactions, and a prevalence of measurements below the limit of detections, among many others. New methods for exposure mixtures are being developed, yet more work is needed in comparing these methods from both a theoretical and applications perspective. Moreover, with ubiquitous availability of big exposure data and increased desire in understand biological mechanisms from exposures to diseases, new methodological developments are needed in many fronts of exposure mixtures modeling, including causal mediation analysis and sparse and scalable analytical procedures.

Call for Papers Flyer: Novel Statistical Approaches for Modeling Exposure Mixtures and Health Outcomes

Editors

  • Zhen Chen Zhen Chen  &

    Zhen Chen

    Zhen Chen, Ph.D., is a senior investigator in NICHD’s Biostatistics and Bioinformatics Branch. Prior to joining NICHD in 2008, Dr. Chen was a tenure-track assistant professor in the Department of Biostatistics and Epidemiology at the University of Pennsylvania. He has published numerous papers in biomedical research and is the recipient of several NIH and NICHD merit awards.

  • Paul S. Albert Paul S. Albert

    Paul S. Albert

    Paul Albert was appointed senior investigator and chief of the Biostatistics Branch, Division of Cancer Epidemiology & Genetics in 2016. Prior to joining the Division, Dr. Albert was senior investigator and chief of Biostatistics and Bioinformatics Branch in the Division of Epidemiology, Statistics, and Prevention in the Eunice Kennedy Shriver National Institute of Child Health and Human Development. Dr. Albert received his Ph.D. in biostatistics from the Johns Hopkins University.

Articles (9 in this collection)