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Items: 9


Exposure Enriched Case-Control (EECC) Design for the Assessment of Gene-Environment Interaction.

Huque MH, Carroll RJ, Diao N, Christiani DC, Ryan LM.

Genet Epidemiol. 2016 Nov;40(7):570-578. doi: 10.1002/gepi.21986.


No association between HMOX1 and risk of colorectal cancer and no interaction with diet and lifestyle factors in a prospective Danish case-cohort study.

Andersen V, Kopp TI, TjĂžnneland A, Vogel U.

Int J Mol Sci. 2015 Jan 7;16(1):1375-84. doi: 10.3390/ijms16011375.


Sample Size and Power Calculations for Additive Interactions.

VanderWeele TJ.

Epidemiol Methods. 2012 Aug 1;1(1):159-188. No abstract available.


Design and analysis issues in gene and environment studies.

Liu CY, Maity A, Lin X, Wright RO, Christiani DC.

Environ Health. 2012 Dec 19;11:93. doi: 10.1186/1476-069X-11-93. Review.


Genetic variants in PNPLA3 and risk of non-alcoholic fatty liver disease in a Han Chinese population.

Peng XE, Wu YL, Lin SW, Lu QQ, Hu ZJ, Lin X.

PLoS One. 2012;7(11):e50256. doi: 10.1371/journal.pone.0050256.


Estimation of gene-environment interaction by pooling biospecimens.

Danaher MR, Schisterman EF, Roy A, Albert PS.

Stat Med. 2012 Nov 20;31(26):3241-52. doi: 10.1002/sim.5357.


A two-stage strategy to accommodate general patterns of confounding in the design of observational studies.

Haneuse S, Schildcrout J, Gillen D.

Biostatistics. 2012 Apr;13(2):274-88. doi: 10.1093/biostatistics/kxr044.


Case-control studies of gene-environment interaction: Bayesian design and analysis.

Mukherjee B, Ahn J, Gruber SB, Ghosh M, Chatterjee N.

Biometrics. 2010 Sep;66(3):934-48. doi: 10.1111/j.1541-0420.2009.01357.x.


The role of genetic factors in autoimmune disease: implications for environmental research.

Cooper GS, Miller FW, Pandey JP.

Environ Health Perspect. 1999 Oct;107 Suppl 5:693-700. Review.

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