Sort by
Items per page

Send to

Choose Destination

Links from PubMed

Items: 1 to 20 of 110


Testing departure from additivity in Tukey's model using shrinkage: application to a longitudinal setting.

Ko YA, Mukherjee B, Smith JA, Park SK, Kardia SL, Allison MA, Vokonas PS, Chen J, Diez-Roux AV.

Stat Med. 2014 Dec 20;33(29):5177-91. doi: 10.1002/sim.6281. Epub 2014 Aug 11.


Novel likelihood ratio tests for screening gene-gene and gene-environment interactions with unbalanced repeated-measures data.

Ko YA, Saha-Chaudhuri P, Park SK, Vokonas PS, Mukherjee B.

Genet Epidemiol. 2013 Sep;37(6):581-91. doi: 10.1002/gepi.21744. Epub 2013 Jun 24.


Powerful Tukey's One Degree-of-Freedom Test for Detecting Gene-Gene and Gene-Environment Interactions.

Wang Y, Li D, Wei P.

Cancer Inform. 2015 Jun 4;14(Suppl 2):209-18. doi: 10.4137/CIN.S17305. eCollection 2015.


Latent variable models for gene-environment interactions in longitudinal studies with multiple correlated exposures.

Tao Y, Sánchez BN, Mukherjee B.

Stat Med. 2015 Mar 30;34(7):1227-41. doi: 10.1002/sim.6401. Epub 2014 Dec 29.


Classification and Clustering Methods for Multiple Environmental Factors in Gene-Environment Interaction: Application to the Multi-Ethnic Study of Atherosclerosis.

Ko YA, Mukherjee B, Smith JA, Kardia SL, Allison M, Diez Roux AV.

Epidemiology. 2016 Nov;27(6):870-8. doi: 10.1097/EDE.0000000000000548.


A Bayesian Shrinkage Approach for AMMI Models.

da Silva CP, de Oliveira LA, Nuvunga JJ, Pamplona AK, Balestre M.

PLoS One. 2015 Jul 9;10(7):e0131414. doi: 10.1371/journal.pone.0131414. eCollection 2015.


A partial least-square approach for modeling gene-gene and gene-environment interactions when multiple markers are genotyped.

Wang T, Ho G, Ye K, Strickler H, Elston RC.

Genet Epidemiol. 2009 Jan;33(1):6-15. doi: 10.1002/gepi.20351.


Rare-variant association tests in longitudinal studies, with an application to the Multi-Ethnic Study of Atherosclerosis (MESA).

He Z, Lee S, Zhang M, Smith JA, Guo X, Palmas W, Kardia SLR, Ionita-Laza I, Mukherjee B.

Genet Epidemiol. 2017 Dec;41(8):801-810. doi: 10.1002/gepi.22081. Epub 2017 Oct 27.


Part 1. Statistical Learning Methods for the Effects of Multiple Air Pollution Constituents.

Coull BA, Bobb JF, Wellenius GA, Kioumourtzoglou MA, Mittleman MA, Koutrakis P, Godleski JJ.

Res Rep Health Eff Inst. 2015 Jun;(183 Pt 1-2):5-50.


Cumulative lead exposure is associated with reduced olfactory recognition performance in elderly men: The Normative Aging Study.

Grashow R, Sparrow D, Hu H, Weisskopf MG.

Neurotoxicology. 2015 Jul;49:158-64. doi: 10.1016/j.neuro.2015.06.006. Epub 2015 Jun 26.


Testing non-additivity (interaction) in two-way ANOVA tables with no replication.

Alin A, Kurt S.

Stat Methods Med Res. 2006 Feb;15(1):63-85.


On the robustness of tests of genetic associations incorporating gene-environment interaction when the environmental exposure is misspecified.

Tchetgen Tchetgen EJ, Kraft P.

Epidemiology. 2011 Mar;22(2):257-61. doi: 10.1097/EDE.0b013e31820877c5.


Robust Tests for Additive Gene-Environment Interaction in Case-Control Studies Using Gene-Environment Independence.

Liu G, Mukherjee B, Lee S, Lee AW, Wu AH, Bandera EV, Jensen A, Rossing MA, Moysich KB, Chang-Claude J, Doherty JA, Gentry-Maharaj A, Kiemeney L, Gayther SA, Modugno F, Massuger L, Goode EL, Fridley BL, Terry KL, Cramer DW, Ramus SJ, Anton-Culver H, Ziogas A, Tyrer JP, Schildkraut JM, Kjaer SK, Webb PM, Ness RB, Menon U, Berchuck A, Pharoah PD, Risch H, Pearce CL; Ovarian Cancer Association Consortium.

Am J Epidemiol. 2018 Feb 1;187(2):366-377. doi: 10.1093/aje/kwx243.


Principal interactions analysis for repeated measures data: application to gene-gene and gene-environment interactions.

Mukherjee B, Ko YA, Vanderweele T, Roy A, Park SK, Chen J.

Stat Med. 2012 Sep 28;31(22):2531-51. doi: 10.1002/sim.5315. Epub 2012 Mar 13.


Power Analysis for Population-Based Longitudinal Studies Investigating Gene-Environment Interactions in Chronic Diseases: A Simulation Study.

Ma J, Thabane L, Beyene J, Raina P.

PLoS One. 2016 Feb 22;11(2):e0149940. doi: 10.1371/journal.pone.0149940. eCollection 2016.


Collaborative double robust targeted maximum likelihood estimation.

van der Laan MJ, Gruber S.

Int J Biostat. 2010 May 17;6(1):Article 17. doi: 10.2202/1557-4679.1181.

Supplemental Content

Support Center