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Recent publications and software



  1. Wu, S, Gao, X, and Carroll, R.J. (2019) Model selection for Generalized Estimating Equations with Divergent Model Size. Submitted to Annals of Statistics

  2. Gao, X and Zhong, Y. (2019) FusioanLearn: A biomarker selection algorithm on cross-platform data.  Revision with Bioinformatics.

  3. Bai, H., Zhong, Y., Gao, X. and Xu, W. (2019) Multivariate mixed response model with pairwise composite likelihood method. Submitted to Statistics in Medicine.

  4. Menelaos. Konstantinidis, Kristen Cote, Peter Dietrich, Guanlin Zhang, Emmanuel Lalla, Xin Gao,  Michael Daly (2019) Improving chemometric predictions of elemental compositions using Laser-induced Breakdown Spectroscopy. Revision with Spectrochimica Acta Part B: Atomic Spectroscopy 

  5. H Lai, H.X. Huang, K. Keshavjee, A. Guergachi, Xin Gao (2019) Machine Learning Techniques Outperform Current Diabetes Mellitus Prediction Rules. Submitted to BMC. 

  6. Wu, S. Zeng, T. and Gao, X. (2019) Quasi-likelihood Bayesian Information Criterion for High Dimensional Generalized Estimation Equation. In preparation.

  7. Azadbakhsh, M., Gao, X. and Jankowski, H (2018) Statistical Inference under non-standard condition using high dimensional cones. In preparation.

  8. Xu, Y, Gao, X, Wang, X, and Wong, A (2018) Composite likelihood model comparison test under fixed and local alternatives. STAT, in press. 

  9. Li, Q, Gao, X, Massam, H. (2018) Bayesian Model selection for colored Gaussian Graphic Model. In preparation.

  10. Gao, X and Konietschke, F (2018) Nonparametric ANOVA test for Repeated Measurement Designs. Revision.

  11. Xu, Y., Gao, X and Wang X. (2017) Nonparametric Clustering of Mixed Data Using Modified Chi-square Tests, revision.

  12. Gao, X and Carroll, R. J. (2017) Data integration with high dimensionality. Biometrika, to appear.  ( The website link for the FusionLearn package: )

  13. Massam, H., Li, Q., Gao, X. (2017). Bayesian precision matrix estimation for graphical
    Gaussian models with edge and vertex symmetries. Biometrika, to appear.

  14. Azadbakhsh, M., Gao, X. and Jankowski, H, and (2016) Multiple comparisons with composite likelihoods. International Journal of Biostatistics, to appear.

  15. Gao, X, Cao, Y. and Zhu, HP, et al. (2017) Mixture Markov regression model with application to mosquito survellance. The Biometrical Journal, to appear.

  16. Li, Q., Gao, X. and Massam, H. (2017) Approximate Bayesian Inference in Large Colored Gaussian Graphical models. Canadian Journal of Statistics: Special Edition on Big Data, to appear. (Arxiv 1605.08441)

  17. Maheu, C., Esplen, M. J., Dzneladze, I. Gao, X., Bai, H., Eisinger, F. and Julian-Reynier, C., (2016) Empirical Validation of the French Version Genetic Psychosocial Risk Instrument (GPRI-F), Research in Nursing \& Health, revision.

  18. Gao, X. (2015) Statistical method for integrative platform analysis: application to integration of proteomic and microarray data. Book chapter for Springer-Edition book: Statistical planning and analysis in proteomics, accepted.

  19. Maheu, C., Meschino, W., S., Gao, X., Honeyford, J., Ambus, I., Kidd, M., Benea, A., Hu, W., Azadbakhsh, M., Esplen, M. J. (2015) Impact of a psycho-educational telephone intervention on distress among women receiving uninformative BRCA1/2 genetic test results., accepted.

  20. Frasch, M. G., Xu, Y., Stampalija, T., Durosier, L. D., Herry, C., Wang, X., Casati, D., Alfirevic, Z., Gao, X., and Ferrazzi, E. (2014) Intrapartum trans-abdominal ECG predicts acid-base status at birth, Physiological measurements, accepted.

  21. Gao, X and Massam, H (2014)  Estimation of symmetry-constrained Gaussian graphical models: Application to clustered dense networks.  Journal of Computational and Graphical Statistics. Accepted.

  22. Azadbakhsh, M., Jankowski, H, and Gao, X. (2013) “Calculating confidence intervals for log-concave densities”,  Computational Statistics and Data Analysis, accepted.

  23. Abdelrazec, A, Cao, Y, Gao, X, Proctorm, P and Zhu, H. (2013) West Nile Virus Assessment and Forecasting using statistical and dynamical model, {\it Spatial and Temporal Dynamics of Infectious Diseases}, Wiley, accepted.

  24. Li, Q, Massam, H. and Gao, X. (2013) Likelihood Ratio Test of Hardy-Weinberg Equilibrium Using Uncertain Genotypes for Sibship Data, International Journal of Medical Data Mining, in Press.

  25. Gao, X. and Yi, G (2013), Simultaneous model selection and estimation for mean and association structures with clustered binary data, STAT. V2., issue 1, 102-118.

  26. Konietschke, F, Gao, X., and Bathke, A.C. (2013) Comment on Type I error and test power of different tests for testing interaction effects in factorial experiments, Statistica Neerlandica, in press.

  27. Wu, S., Xu, Y., Feng, Z., Wang, X. and , Gao, X. (2012) Multiple-platform data integration method with application to combined analysis of microarray and proteomic data, BMC bioinformatics.

  28. Xin Gao and Hanna Jankowski (2012), Invited discussion of “Catching up faster by switching sooner: a predictive approach to adaptive estimation with an application to the AIC-BIC dilemma” by van Erven, Journal of the Royal Statistical Society: Series B 74 (3), 405.

  29. Gao, X., Pu, Q.,  Wu, Y. and Xu, H. (2011) Model Selection in Gaussian Graphical Mode with the Smoothly Clipped Absolute Deviation Penalty, Statistica Sinica, in press.

  30. Gao, X.and Song, P. (2011) Composite Likelihood EM Algorithm with Applications to Multivariate Hidden Markov Model. Statistica Sinica, 21, 165-186.

  31. Satyendra Chandra Tripathi1, Jatinder Kaur1, Ajay Matta2, Xin Gao, Bin Sun3,Shyam Singh Chauhan1, Alok Thakar4, Nootan Kumar Shukla5, Ritu Duggal6,Ajoy Roy Choudhary6, Siddhartha DattaGupta7, Mehar Chand Sharma7, Ranju Ralhan2,8,9,10,* and KW Michael Siu2,* Loss of DLC1 is an independent prognostic factor in patients with oral squamous cell carcinoma. Modern pathology, 2011, 1-12.

  32. Feng, Z., Wong, W., Gao, X. and Schenkel, F. (2011) Generalized genetic associationstudy with correlated population,  Annals of Applied Statistics, in press.

  33. Gao, X.and Song, P. (2010) Composite likelihood Bayesian information criteria for model selection in high-dimensional data”, Journal of American Statistical Association, 105, 1531-1540.

  34. Gao, X., Lin, L., and Huang, Y. (2009) Application of Model Selection Technique in Chemogenomic Data Analysis. Statistical Analysis and Data Mining, V2(3) 147-208.

  35. Gao, X.,Song, P., and Pu, Q. (2009) Transition Dependency: A Gene-Gene Interaction Measure for Times Series Microarray Data. EURASIP Journal of Bioinformatics and System Biology, Volume 2009, Article ID 535869.

  36. Pham, A. N., Wang, J., Fang, J., Gao, X., Zhang, Y., Blower, P. E., Sade, W., Huang, Y. (2009) Pharmacogenomics approach reveals MRP1 (ABCC1) – mediated resistance to geldanamycins. Pharmaceutical Research, 26(4):936-45.

  37. Gao, X., Xu, H. and Ye, D. (2009) Asymptotic Behaviors of Tail Density for Sum of Correlated Lognormal Variables. International Journal of Mathematics and Mathematical Sciences, in press.

  38. Gao, X.,Alvo, M., Chen, J. and Li, G (2008) Nonparametric Multiple Comparison Procedures For Unbalanced One-Way Factorial Designs. Journal of Statistical Planning and Inference. Vol 138, 2574-2591.

  39. Gao, X.,Alvo, M. (2008) Nonparametric Multiple Comparison Procedures For Unbalanced two-Way Factorial Designs. Journal of Statistical Planning and Inference. Vol 138, pp. 3674-3686.

  40. Szczecinski, L., Xu, H., Gao, X. and Bettancourt, R. (2007). Efficient evaluation of BER for arbitrary modulation and signaling in fading channels. IEEE Transactions on Communications. vol. 55, no. 11, pp. 2061-2064.

  41. Gao, X. (2007) A Nonparametric Procedure for the Two-factor Mixed Model with Missing Data. The Biometrical Journal, Volume 49, Issue 5, Date: October 2007, Pages: 774-788

  42. Gao, X.(2006). Construction of Null Statistics in Permutation based Multiple Testing for Multi-Factorial Microarray Experiments. Bioinformatics, Vol, 22, 1486-1494.

  43. Gao, X. (2006).  Nonparametric Order-restricted Inference for Factorial and Temporal Data.   International Journal of Statistics and Management Systems, Vol. 1, 120-149.

  44. Song, P. , Gao, X., Liu, R. and Le, W. (2006). Nonparametric Inference for Local Extrema With Application to Oligonucleotide Microarray Data in Yeast Genome, Biometrics, 62, 545-54.

  45. Gao, X. and Alvo, M. (2005).  A Unified Nonparametric Approach for Unbalanced Factorial Designs. Journal of the American Statistical Association, Vol. 100, 926-941.

  46. Gao, X. and Song, P. (2005). Nonparametric Tests for Differential Gene Expression and Interaction Effects for Multi-factorial Microarray Experiments, BMC Bioinformtics, Vol. 6:186.

  47. Gao, X.and Alvo, M. (2005). A Nonparametric tests for interaction for two-way layouts. The Canadian Journal of Statistics, Vol. 33, 529-543.

  48. Cheng, R., Ma, J. Z., Wright, F. A., Lin, S. L., Gao, X., Wang, D. L., Elston, R. C. and Li, M. D. (2003). Nonparametric Disequlibrium Mapping of Functional Sites Using Haplotypes of Multiple Tightly Linked Single-Nucleotide Polymorphism Markers. Genetics, 1175-1187.

  49. Peltomki, P., Gao, X. and Mecklin, J. P. (2001). Genotype and phenotype in hereditary nonpolyposis colon cancer: a study of families with different vs. shared predisposing mutations. Familial Cancer, Vol. 1, 9-15.

  50. Huang, J., Kruismanen, S., Liu, T., Chadwick, R., Johnson, C., Richards, S.,Gao, X., Wright, F., Mecklin, J-P., Jarvinen, H., Gronberg, H., Bisgaard, M. L., Linkblom, A. , and Peltomaki, P. (2001). MSH6 and MSH3 are rarely involved in genetic predisposition to non-polypotic colon cancer. Cancer Research, Vol. 61, 1619-1623.

  51. Wang, D., Lin, S., Cheng, R., Gao, X. and Wright, F. A. (2001). Transformation of sib-pair Values for the Haseman-Elston Method. American Journal of Human Genetics, Vol. 68, 1238-1249.

  52. Fruhwald, M. C., O’Dorisio, M. S., Dai, Z., Tanner, S. M., Balster, D. A., Gao, X., Wright, F. A., Plass C. (2001). Aberrant promoter methylation of previously unidentified target genes is a common abnormality in medulloblastomasimplications for tumor biology and potential clinical utility. Oncogene, 5033-5042.

  53. Rush, L. J., Dai, Z., Smiraglia, D. J., Gao, X.,Wright, F. A. Fruhwald, M., Costello,J. F., Held, W. A., Yu, L. , Krahe, R., Kolitz, J. E., Bloomfield, C. D., Caligiuri, M.A. , Plass, C. (2001). Novel methylation targets in de novo acute myeloid leukemia with prevalence of chromosome 11 loci. Blood, 3226-3233.

  54. Smith, W. M., Zhou, X. P., Kurose, K. , Gao, X., Latif, F., Kroll, T. , Sugano, K.,Cannistra, S. A. , Clinton, S. K. , Maher, E. R. , Prior, T. W. , Eng, C. (2001). Opposite association of two PPARG variants with cancer: overrepresentation of H449H in endometrial carcinoma cases and underrepresentation of P12A in renal cell carcinoma cases. Human Genetics (Humangenetik), p. 146-151.

  55. Costello, J. F., Fruhward, M.C., Smiraglia, D.J., Rush, L.J., Robertson, G.P., Gao,X., Wright, F.A. , Feramisco, J.D., Peltomaki, P., Lang, J.C., Schuller, D.E., Yu,L. , Bloomfield, C.D., Caligiuri, M.A. , yates, A. , Nishikawa, R. , Huang, H.-J ,Petrelli, N.J., Zhang, X. , O’Dorisio, M.S., Held, W.A., Cavenee, W. K., Plass, C. (2000). Aberrant CpG island methylation has non-random and tumor type-specific patterns. Nature Genetics, 132-138.

  56. Borrego, S., Ruiz, A., Saez, M. E., Gimm, O., Gao, X., Lopex-Alonso, M., Hernandez,A., Wright, F. A., Antinolo, G., Eng, C. (2000). RET genotypes comprising specific haplotypes of polymorphic variants predispose to isolated Hirschsprung disease. Journal of Medical Genetics, 572-578.

  57. Zhou, X.P., Smith, W.M., Gimm, O., Mueller, E., Sarraf, P., Prior, T. W., Plass, C.,Gao, X., Deimling, A.V., Black, P.M., Yates, A.J., Eng, C.: Over-representation of PPAR sequence variants in sporadic cases of glioblastoma multiforme :Preliminary evidence for common low penetrance modifiers for brain tumour risk in the general population. (2000) Journal of Medical Genetics, 410-414.

  58. Desai, D.C. Lockman, J.C., Chadwick, R. B., Gao, X., Percesepe, A., Gareth,D., Evans, R., Miyaki, M., Yuen, S. T., Radice, P., Maher, E. R., Wright, F. A.,Chapelle, A. de la (2000). Recurrent Germline mutation in MSH2 Arises frequently de novo. Journal of Medical Genetics, 646-652.

  59. Gao, X. (2009) Nonparametric methods for experimental designs. Encyclopedia on research designs, Sage.