1. Hong, C, Riley, R and Chen, Y (2017) Robust variance estimator for Riley method of the multivariate meta-analysis when within-study correlations are unknown, Research Synthesis Methods, (in press).

2. Agarwal, R, Bartsch, SM, Kelly, BJ, Prewitt, M, Liu, YL, Chen, Y, and Umscheid, CA. (2017) Newer glycopeptide antibiotics for treatment of complicated skin and soft tissue infections: a systematic review, network meta-analysis and cost analysis, Clinical Microbiology and Infection (in press).

3. Huang, J, Liu, YL, Vitale, S, Penning, T, Whitehead, A, Vachani, A, Clapper, M, Muscat, J, Lazarus, P, Scheet, P, Moore, JH and Chen, Y (2017), On meta- and mega-analyses for gene-environment interactions, Genetic Epidemiology 41: 876-886.

4. Ma, X, Lian, X, Chu, H, Ibrahim, J, and Chen, Y (2017) A Bayesian hierarchical model for network meta-analysis of diagnostic tests, Biostatistics (in press).

5. Ning, J, Chen, Y and Piao, J (2017) Maximum likelihood estimation and EM algorithm of Copas-like selection model for publication bias correction. Biostatistics 18 (3) 495-504.

6. Liu, Y, DeSantis, S and Chen, Y (2017) Bayesian mixed treatment comparisons meta-analysis for correlated outcomes subject to reporting bias, Journal of the Royal Statistical Society: Series C (in press).

7. Liu, Y, Chen, Y and Scheet, P (2016), A meta-analytic framework for detection of genetic interactions, Genetic Epidemiology, 40 (7), 534 –543.

8. Chen, Y, Liu, Y, Chu, H, Lee, M and Schmid, C (2017) A simple and robust method for multivariate meta-analysis of diagnostic test accuracy, Statistics in Medicine, 36, 105-121.

9. Chen, Y, Hong, C, Ning, Y and Su, X. (2016) Meta-analysis of studies with bivariate binary outcomes: a marginal beta-binomial model approach, Statistics in Medicine, 35, 21-40.

10. Chahoud, J, Semaan, A, Chen, Y, Cao, M, Rieber, A, Rady, P and Tyring, S. (2016) The Association between Beta-genus Human Papillomavirus and Cutaneous Squamous Cell Carcinoma in Immunocompetent Individuals: a Meta-analysis, JAMA Dermatology, 152(12):1354–1364.

12. Liu, Y, Chen, Y and Chu H. (2015) A unification of models for meta-analysis of diagnostic accuracy studies without a gold standard, Biometrics, 71(2):538–47.

15. Chen, Y, Liu, Y, Ning, J, Nie, L, Zhu, H and Chu H. (2014) A composite likelihood method for bivariate analysis of sensitivity and specificity in diagnostic reviews, Statistical Methods in Medical Research.

16. Chen, Y, Chu, H, Luo, S, Nie L and Chen S. (2014) Bayesian analysis on meta-analysis of case-control studies accounting for within-study correlation, Statistical Methods in Medical Research.

17. Chen, Y, Luo, S, Chu, H, Su, X and Nie, L. (2014) An Empirical Bayes Method for Multivariate Metaanalysis with Application in Clinical Trials, Communications in Statistics-Theory and Methods, 43(16), 3536–3551.

18. Ma, X, Chen, Y, Cole, S and Chu, H. (2014) A hybrid Bayesian hierarchical model combining cohort and case-control studies for meta-analysis of diagnostic tests: accounting for partial verification bias, Statistical Methods in Medical Research.

19. Luo, S, Chen, Y, Su, X and Chu, H. (2014) mmeta: An R package for multivariate meta-analysis. Journal of Statistical Software, 56 (11).

20. Chen, Y, Luo, S, Chu, H and Wei, P. (2013) Bayesian inference on risk differences: an application to multivariate meta-analysis of adverse events in clinical trials, Statistics in Biopharmaceutical Research, 5 (2): 142-155.

21. Chu, H, Nie, L, Chen, Y, Huang, Y and Sun, W. (2012) Bivariate random effects models for meta-analysis of comparative studies with binary outcomes: methods for the absolute risk difference and relative risk, Statistical Methods in Medical Research, 21 (6): 621–633.

## Publications from XMETA Team

## Other References

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