Robust Clustering with Subpopulation-specific Deviations

Details

• Alternative Title:
  J Am Stat Assoc
• Personal Author:
  Stephenson, Briana J.K. ; Herring, Amy H. ; Olshan, Andrew
• Description:
  The National Birth Defects Prevention Study (NBDPS) is a case-control study of birth defects conducted across 10 U.S. states. Researchers are interested in characterizing the etiologic role of maternal diet, collected using a food frequency questionnaire. Because diet is multi-dimensional, dimension reduction methods such as cluster analysis are often used to summarize dietary patterns. In a large, heterogeneous population, traditional clustering methods, such as latent class analysis, used to estimate dietary patterns can produce a large number of clusters due to a variety of factors, including study size and regional diversity. These factors result in a loss of interpretability of patterns that may differ due to minor consumption changes. Based on adaptation of the local partition process, we propose a new method, Robust Profile Clustering, to handle these data complexities. Here, participants may be clustered at two levels: (1) globally, where women are assigned to an overall population-level cluster via an overfitted finite mixture model, and (2) locally, where regional variations in diet are accommodated via a beta-Bernoulli process dependent on subpopulation differences. We use our method to analyze the NBDPS data, deriving pre-pregnancy dietary patterns for women in the NBDPS while accounting for regional variability.
• Keywords:
  Buprenorphine Food Frequency Questionnaire Latent Class Analysis Local Partition Process Methadone Mortality Naltrexone Nutritional Epidemiology Treatment
• Source:
  J Am Stat Assoc. 115(530):521-537
• Pubmed ID:
  32952235
• Pubmed Central ID:
  PMC7500490
• Document Type:
  Journal Article
• Funding:
  U01 DD001036/DD/NCBDD CDC HHSUnited States/ ; P30 DK056350/DK/NIDDK NIH HHSUnited States/ ; P2C HD050924/HD/NICHD NIH HHSUnited States/ ; T32 ES007018/ES/NIEHS NIH HHSUnited States/ ; R01 ES027498/ES/NIEHS NIH HHSUnited States/ ; R01 ES020619/ES/NIEHS NIH HHSUnited States/ ; U01 DD001231/DD/NCBDD CDC HHSUnited States/
• Volume:
  115
• Issue:
  530
• Collection(s):
  CDC Public Access
• Main Document Checksum:
  urn:sha-512:5ca6b69dbb070a7656b8373747c134193bddbd112c491f79bb84a299a9eeb88fedec4d69c5d37ba990a1231ebd2355a4860dbcc7e6061a6c7a4c4b1ac06e9302
• Download URL:
  https://stacks.cdc.gov/view/cdc/94154/cdc_94154_DS1.pdf
• File Type:
  [PDF - 1.19 MB ]