i
Robust Clustering with Subpopulation-specific Deviations
-
2020
-
Source: J Am Stat Assoc. 115(530):521-537
[PDF-1.19 MB]
Details:
-
Alternative Title:J Am Stat Assoc
-
Personal Author:
-
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:
-
Source:
-
Pubmed ID:32952235
-
Pubmed Central ID:PMC7500490
-
Document Type:
-
Funding:
-
Volume:115
-
Issue:530
-
Collection(s):
-
Main Document Checksum:
-
Download URL:
-
File Type:
