We published a paper based on extending Within-Cluster Resampling (WCR) to paired resampling in order to permit cluster-specific inference. An affected and an unaffected individual are sampled from each cluster (e.g. family) and compared with regard to covariates by fitting a paired-data logistic regression model. The paired resampling is repeated many times and the separate estimates pooled. When the response to an exposure varies across clusters, due to unmeasured modifiers, usual approaches become invalid, but WCPR remains valid. In two related projects, we developed a statistical test for unmeasured effect modification, and are also developing an approach for analysis of the case-crossover study, a design used to study effects of shared, time-varying environmental exposures, such as air pollution.

Agency
National Institute of Health (NIH)
Institute
National Institute of Environmental Health Sciences (NIEHS)
Type
Intramural Research (Z01)
Project #
1Z01ES040006-06
Application #
6672864
Study Section
(BB)
Project Start
Project End
Budget Start
Budget End
Support Year
6
Fiscal Year
2002
Total Cost
Indirect Cost
Name
U.S. National Inst of Environ Hlth Scis
Department
Type
DUNS #
City
State
Country
United States
Zip Code
Weinberg, Clarice R (2017) Invited Commentary: Can Issues With Reproducibility in Science Be Blamed on Hypothesis Testing? Am J Epidemiol 186:636-638
Lyles, Robert H; Mitchell, Emily M; Weinberg, Clarice R et al. (2016) An efficient design strategy for logistic regression using outcome- and covariate-dependent pooling of biospecimens prior to assay. Biometrics 72:965-75
Lyles, Robert H; Van Domelen, Dane; Mitchell, Emily M et al. (2015) A Discriminant Function Approach to Adjust for Processing and Measurement Error When a Biomarker is Assayed in Pooled Samples. Int J Environ Res Public Health 12:14723-40
Saha-Chaudhuri, Paramita; Umbach, David M; Weinberg, Clarice R (2011) Pooled exposure assessment for matched case-control studies. Epidemiology 22:704-12
Weinberg, C R (2009) Less is more, except when less is less: Studying joint effects. Genomics 93:10-2
Weinberg, Clarice R (2007) Can DAGs clarify effect modification? Epidemiology 18:569-72
Weinberg, Clarice R; Shore, David L; Umbach, David M et al. (2007) Using risk-based sampling to enrich cohorts for endpoints, genes, and exposures. Am J Epidemiol 166:447-55
Basso, Olga; Wilcox, Allen J; Weinberg, Clarice R (2006) Birth weight and mortality: causality or confounding? Am J Epidemiol 164:303-11
Howards, Penelope P; Hertz-Picciotto, Irva; Weinberg, Clarice R et al. (2006) Misclassification of gestational age in the study of spontaneous abortion. Am J Epidemiol 164:1126-36
Weinberg, C R (2005) Invited commentary: Barker meets Simpson. Am J Epidemiol 161:33-5; discussion 36-7

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