Jaeil Ahn’s Publications
- Boonstra PS, Mukherjee B, Gruber SB, Ahn J, Schmit SL, and Chatterjee N (2016). Tests for gene-environment interactions and joint effects with exposure misclassification. Am J Epidemiol. 183(3):237-47.
- Yuan, A., Ahn, J. (2016). Some genetic regression models for multiple quantitative endpoints data. Austin Biometrics and Biostatistics. 3(1), id1029.
- Steven H. Lamm, Hamid Ferdosi, Elisabeth Dissen, Ji Li, Jaeil Ahn. Systematic Review and Meta-Regression Analysis of Lung Cancer Risk and Inorganic Arsenic in Drinking Water. Int J Environ Res Public Health. 2015. 12(12):15498-515
- Cancer Genome Atlas Research Network. The Molecular Taxonomy of Primary Prostate Cancer. (2015). Cell. 2015 Nov 5;163(4)
- Davis CF, Ricketts CJ, Wang M, et al. The Somatic Genomic Landscape of Chromophobe Renal Cell Carcinoma. (2014). Cancer Cell. S1535-6108(14)00304-3.
- Stephanie Stenzel, Jaeil Ahn, Philip Boonstra, Stephen Gruber, and Bhramar Mukherjee. The impact of exposure-biased sampling designs on detection of gene–environment interactions in case–control studies with potential exposure misclassification. Eur. J. Epidemiology, 2015, 30:413-23.
- Jaeil Ahn, Timothy Johnson, Darlene Bhavnani, Joseph N. S. Eisenberg, and Bhramar Mukherjee. A space-time point process model for analyzing and predicting case patterns of diarrheal disease in northwestern Ecuador. Spatial and Spatio-temporal epidemiology) 2014, 9:23-35
- Ahn J, Yuan Y, and Wang W. Bayesian latent-class mixed-effect hybrid models for dyadic longitudinal data with non-ignorable dropouts. Biometrics, 2013, 69: 912-924
- Ahn J, Yuan Y, Parmigiani G, Suraokar MB, Diao L, Wistuba II, and Wang W. (2013). DeMix: Deconvolution for Mixed Cancer Genomes Using Raw Measured Data. (Accepted, Bioinformatics)
- Raskin L, Johnson TM, Fullen DR, Giordano TJ, Vinco M, Sanders D,Ahn J, Mukherjee B, Gruber SB. HMGA2 is a novel gene in melanoma progression and prognosis. Journal of Investigative Dermatology, 2013, doi: 10. 1038
- Ahn J, Mukherjee B, Gruber SB, and Ghosh M. Bayesian semiparametric analysis for two-phase studies of gene-environment interaction. Annals of Applied Stat., 2013, 7, 543-569
- Mukherjee B, Ahn J, Gruber SB, Chatterjee N. Mukherjee et al. Respond to “GE-Whiz! Ratcheting Up Gene-Environment Studies.” Am J Epidemiol. 2012, 175:208-209
- Mukherjee B, Ahn J, Gruber SB, Chatterjee N. Testing Gene-Environment Interaction in Large-Scale Case-Control Association Studies: Possible Choices and Comparisons. Am J Epidemiol., 2012 175:177-90
- Mukherjee B, Rennert G, Ahn J, Dishon S, Lejbkowicz F, Rennert H, Shiovitz S, Moreno V, Gruber SB. Risk of Colorectal and Endometrial Cancer in Ashkenazi families with the MSH2 A636P founder mutation. Gastroenterology, 2011, 140, 1919-26
- Vilar E, Bartnik CM, Raskin L, Ahn J, Moreno V, Mukherjee B, Rennert G, Gruber SB. MRE11 deficiency increases sensitivity to poly(ADP-ribose) polymerase inhibition in microsatellite instable colorectal cancers. Cancer Res, 2011, 71, 2632-42
- Samadder NJ, Mukherjee B, Huang S, Rennert H, Greenson J, Ahn J, Rennert G, Gruber SB. Risk of colorectal cancer in self-reported inflammatory bowel disease and modification of risk by statin and NSAID use. Cancer, 2011, 117, 1640-8
- Ahn J, Mukherjee B, Gruber SB, Sinha S. Missing Exposure Data in Stereotype Regression Model: Application to Matched Case-Control study with Disease Sub-classification. Biometrics, 2011, 67, 546-58
- Mukherjee B, Ahn J, Gruber SB, Ghosh M, Chatterjee N. Bayesian Sample size determination for Case-Control Studies of Gene-Environmental Interaction. Biometrics, 2010, 66, 934-48
- Ahn J, Mukherjee B, Banerjee M, and Cooney KA. Bayesian Inference for the Stereotype regression model: Application to a case-control study of prostate cancer. Statistics in Medicine, 28, 3139-3157
- Mukherjee B, Ahn J, Liu I, Rathouz P, Sanchez B. Fitting stratified proportional odds models by amalgamating conditional likelihoods. Statistics in Medicine, 24, 4950-71
- Mukherjee B, Ahn J, Rennert G, Gruber SB, Moreno V, Chatterjee N. (2008). Testing gene-environment interaction from case-control data: A novel study of Type-1-error, power and design. Genetic Epidemiology, 32, 615-26