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  • Wei, Z., Conlon, E.M. (2019) Parallel Markov chain Monte Carlo for Bayesian hierarchical models with big data, in two stages. Journal of Applied Statistics. journal link

  • Pold, G., Conlon, E.M., Huntemann, M. et al. (2018) Genome sequence of Verrucomicrobium sp. strain GAS474, a novel bacterium isolated from soil. Genome Announcements, 6, e01451-17. journal link

  • Wei, Z., Wang, X., Conlon, E.M. (2017) Parallel Markov chain Monte Carlo for Bayesian dynamic item response models in educational testing. Stat, 6, 420-433. journal link

  • Miroshnikov, A., Wei, Z., Conlon, E.M. (2015) Parallel Markov chain Monte Carlo for non-Gaussian posterior distributions. Stat, 4, 304-319. journal link arXiv link

  • Miroshnikov, A., Conlon, E.M. (2014) parallelMCMCcombine: An R package for Bayesian methods for big data and analytics. PLOS ONE, 9(9), e108425. link

  • Conlon, E.M., Postier, B.L., Methe, B.A., Nevin, K.P., Lovley, D.R. (2012) A Bayesian model for pooling gene expression studies that incorporates co-regulation information. PLOS ONE, 7(12), e52137. link

  • Conlon, E.M., Song, J.J. (2012) Bayesian Computational Methods for Meta-Analysis of Gene Expression Studies. In, Probability: Interpretation, Theory and Applications, Y.S. Shmaliy ed., Nova Science Publishers, pp. 243-266.

  • Conlon, E.M., Postier, B.L., Methe, B.A., Nevin, K.P., Lovley, D.R. (2009) Hierarchical Bayesian meta-analysis models for cross-platform microarray studies. Journal of Applied Statistics, 36, 1067-1085. link

  • Conlon, E.M. (2008) A Bayesian mixture model for metaanalysis of microarray studies. Functional and Integrative Genomics, 8, 43-53. link

  • Blanchard, J.L., Wholey, W.Y., Conlon, E.M., Pomposiello, P.J. (2007) Rapid changes in gene expression dynamics in response to superoxide reveal SoxRS-dependent and independent transcriptional networks. PLOS ONE, 2(11), e1186. PDF

  • Conlon, E.M., Song, J.J., Liu, A. (2007) Bayesian meta-analysis models for microarray data: a comparative study. BMC Bioinformatics, 8, 80. Abstract PDF


  • Conlon, E.M., Song, J.J., Liu, J.S. (2006) Bayesian models for pooling microarray studies with multiple sources of replications. BMC Bioinformatics, 7, 247. Abstract PDF


  • Conlon, E.M., Alpargu, G., Blanchard, J.L. (2006) Comparative genomics approaches to identifying genetic regulatory networks. Chance, 19(3), 45-48.

  • Wang, S.T., Setlow, B., Conlon, E.M., Lyon, J.L., Imamura, D., Sato, T., Setlow, P., Losick, R., Eichenberger, P. (2006) The forespore line of gene expression in Bacillus subtilis. Journal of Molecular Biology, 358, 16-37.

  • Eichenberger, P., Fujita, M., Jensen, S.T., Conlon, E.M., Rudner, D.Z., Wang, S., Ferguson, C., Haga, K., Sato, T., Liu, J.S., Losick, R. (2004) The Program of Gene Transcription for a Single Differentiating Cell Type during Sporulation in Bacillus subtilis. PLOS Biology, 2, E328.

  • Wijsman E.M., Daw E.W., Yu C.-E., Payami H., Steinbart E.J., Nochlin D., Conlon E.M., Bird T.D., Schellenberg G.D. (2004) Evidence for a novel late-onset Alzheimer's disease locus on chromosome 19p13.2. American Journal of Human Genetics, 75, 398-409.

  • Conlon, E.M., Eichenberger, P., Liu, J.S. (2004) Determining and analyzing differentially expressed genes from cDNA microarray experiments with complementary designs. Journal of Multivariate Analysis, 90, 1-18.

  • Conlon, E.M., Goode, E.L., Gibbs, M., Stanford, J.L., Badzioch, M., Janer, M., Kolb, S., Hood, L., Ostrander, E.A., Jarvik, G.P., Wijsman, E.M. (2003) Oligogenic Segregation Analysis of Hereditary Prostate Cancer Pedigrees: evidence for multiple loci affecting age-at-onset. International Journal of Cancer, 105, 630-635.

  • Conlon, E.M., Liu, X.S., Lieb, J.D., Liu, J.S. (2003) Integrating regulatory motif discovery and genome-wide expression analysis. Proceedings of the National Academy of Sciences USA, 100, 3339-3344.

  • Eichenberger, P., Jensen, S.T., Conlon, E.M., van Ooij, C., Silvaggi, J., Gonzalez-Pastor, J.-E., Fujita, M., Ben-Yehuda, S., Stragier, P., Liu, J.S., Losick, R. (2003) The sigma E regulon and the identification of additional sporulation genes in Bacillus subtilis. Journal of Molecular Biology, 327, 945-972.

  • Goldstein, D.R., Ghosh, D., Conlon, E.M. (2002) Statistical issues in the clustering of gene expression data. Statistica Sinica, 12, 219-240.

  • Chapman, N.H., Leutenegger, A.-L., Badzioch, M., Bogdan, M., Conlon, E.M., Daw, E.W., Gagnon, F., Li, N., Maia, J.M., Wijsman, E.M., Thompson, E.A. (2001) The importance of connections: joining components of the Hutterite pedigree. Genetic Epidemiology, 21, Suppl 1, S230-235.

  • Conlon, E.M., Goode, E.L., Gibbs, M., Stanford, J.L., Badzioch, M., Janer, M., Kolb, S., Hood, L., Ostrander, E.A., Jarvik, G.P., Wijsman, E.M. (2000) Markov chain Monte Carlo oligogenic segregation analysis of familial prostate cancer pedigrees. American Journal of Human Genetics, 67(4), Suppl A226-A226.

  • Conlon, E.M., Goode, E.L., Gibbs, M., Stanford, J.L., Badzioch, M., Janer, M., Hood, L., Ostrander, E.A., Jarvik, G.P., Wijsman, E.M. (2000) Oligogenic segregation analysis of prostate cancer pedigrees using Markov chain Monte Carlo methods. Genetic Epidemiology, 19(3), A241-A242.

  • Conlon, E.M., Waller, L.A. (2000) Flexible spatial hierarchical models for mapping disease rates. American Statistical Association Proceedings of the Section on Statistics and the Environment, 82-87.

  • Waller, L.A., Conlon, E.M. (2000) Statistical Issues in Assessment of Environmental Justice. Stats, 28, 3-13.

  • Conlon, E.M., Louis, T.A. (1999) Addressing multiple goals in evaluating region-specific risk using Bayesian methods. In, Disease Mapping and Risk Assessment for Public Health, A. Lawson et al. eds., Wiley, 31-47.

  • Best, N.G., Waller, L.A., Thomas, A., Arnold, R.A., Conlon, E.M. (1999) Bayesian models for spatially correlated disease and exposure data (with discussion). In, Bayesian Statistics 6, J.M. Bernardo, J.O. Berger, A.P. Dawid and A.F.M. Smith, eds., Oxford: Oxford University Press, 131-156.

  • Mugglin, A.S., Carlin, B.P., Zhu, L., Conlon, E. (1999) Bayesian areal interpolation, estimation, and smoothing: an inferential approach for Geographic Information Systems. Environment and Planning A, 31, 1337-1352.

  • Le, C.T., Conlon, E.M., and Lindgren, B.R. (1999) Comparison of treatments for otitis media using multiple diagnostic methods. In, IMA Volumes in Mathematics and its Applications, Diagnosis and Prediction, Volume 114, S. Geisser ed., Springer-Verlag, pp. 1-6.