Rui Wang

Associate Professor in the Department of Biostatistics

Department of Biostatistics

Other Affiliations

Associate Professor of Population Medicine, Harvard Medical School
DirectorDivision of Biostatistics, Harvard Pilgrim Health Care Institute

Research Interests

Dr. Wang’s research interests include the design, monitoring, and analysis of parallel and stepped-wedge cluster randomized trials, where a group of subjects, as opposed to individuals, are randomized to each of the treatment arms in the trial. The particular questions she is addressing include the investigation of how the complex correlation structure within clusters affects the sample size and power of the trial, and how to analyze data from such trials efficiently, taking into account the correlation structure and the issue of missing data. She has also been developing improved statistical techniques for a cross-sectional approach that, when combined with modern HIV screening methods, can substantially reduce the cost and increase the accuracy of HIV incidence estimation. Her research interests also include longitudinal modeling of non-linear trajectories and model selection, as well as addressing missing data issues in distributed data networks.

Courses Taught

  • Statistical Inference II – BST 241
    Harvard T. H. Chan School of Public Health | 2016, 2018-present
  • Applied Survival Analysis – BIO223
    Harvard T. H. Chan School of Public Health | 2017

Education

Ph.D., Harvard University | 2008

Honors & Awards

  • Robert H. Ebert Career Development Award
    Harvard Medical School | 2017
  • Student Paper Award 
    ASA Health Policy & Statistics Section | 2009
  • Student Poster Presentation Travel Award 
    Drug Information Association | 2009
  • Student Paper Award (1st Place) 
    ASA Biopharmaceutical Section | 2008
  • Certificate of Distinction in Teaching
    Department of Biostatistics, Harvard T. H. Chan School of Public Health | 2007
  • Outstanding Teaching Assistant Award 
    Department of Biostatistics, Harvard T. H. Chan School of Public Health | 2007
  • Thomas Chalmers Student Travel Award 
    The Society for Clinical Trials | 2007
  • Robert B. Reed Prize for Excellence in Biostatistical Science 
    Harvard T.H. Chan School of Public Health | 2005

Selected Publications

See Google Scholar page for full list of publications

1. Xu Y, Laeyendecker O, Wang R. Cross-sectional HIV incidence estimation accounting for heterogeneity across communities. Biometrics 2019, 75:1-12.

2. Wang R, DeGruttola V. The use of permutation tests for the analysis of parallel and stepped-wedge cluster-randomized trials. Statistics in Medicine 2017, 36(18): 2831-2843.

3. Wang R, Dong Y, Weng J, Kontos EZ, Chervin RD, Rosen CL, Marcus CL, Redline S. Associations among neighborhood, race and sleep apnea severity in children: a six city analysis. Annals of the American Thoracic Society 2017; 14(1):76-84.

4. Harling G, Wang R, Onnela JP, De Gruttola V. Leveraging contact network structure in the design of cluster randomized trials. Clinical Trials 2017; 14(1): 37-47.

5. Prague M, Wang R, Alisa Stephens, Tchetgen Tchetgen E, DeGruttola V. Accounting for interactions and complex inter-subject dependency in estimating treatment effect in cluster randomized trials with missing outcomes. Biometrics 2016; 72(4): 1066-1077.

6. Carnegie NB, Wang R, De Gruttola V. Estimation of the overall treatment effect in the presence of interference in cluster-randomized trials of infectious disease prevention. Epidemiologic Methods 2016; 5(1), 57-68.

7. Wang R, Schoenfeld DA, Hoeppner B, Evins AE. Detecting treatment-covariate interactions using permutation methods. Statistics in Medicine, 2015; 34(12): 2035-2047.

8. Wang R, Goyal R, Lei Q, Essex M, De Gruttola V. Sample size considerations in the design of cluster randomized trials of combination HIV prevention. Clinical Trials, 2014; 11:309-318.

9. Carnegie NB, Wang R, Novitsky V, De Gruttola V. Linkage of viral sequences among HIV-infected village residents in Botswana: estimation of linkage rates in the presence of missing data. PLOS Computational Biology, 2014; 10(1):e1003430.

10. Wang R, Weng J, Moyo S, Pain D, Barr CD, Maruapua D, Mongwato D, Makhema J, Novitsky V, Essex M. Effect of short-course antenatal Zidovudine and single-dose Nevaripine on the BED capture enzyme immunoassay levels in HIV-1 subtype C infection. AIDS Research and Human Retroviruses, 2013, 29(6): 901-6.

11. Wang R, Ware JH. Detecting moderator effects using subgroup analyses. Prevention Science 2013, 14(2): 111-120.

12. Wang R, Bosch R, Benson C, Lederman M. Drug resistant virus has reduced ability to induce immune activation. The Journal of Acquired Immune Deficiency Syndromes (JAIDS), 2012; 61(4): e60-e63.

13. Claggett B, Lagakos SW, Wang R. Augmented cross-sectional studies with abbreviated follow-up for estimating HIV incidence. Biometrics 2012, 68(1): 62-74.

14. Tian L, Wang R, Cai T, Wei LJ. The highest confidence density region and its applications to joint inferences about constrained parameters. Biometrics, 2011, 67(2): 604-610.

15. Wang R, Lagakos SW. Augmented cross-sectional prevalence testing for estimating HIV incidence. Biometrics, 2010; 66(3): 864-874.

16. Wang R, Lagakos SW, Gray BJ. Testing and interval estimation of 2-sample survival comparisons with small sizes and unequal censoring. Biostatistics, 2010; 11(4): 676-692.

17. Wang R, Tian L, Cai T, Wei LJ. Nonparametric inference procedure for percentiles of the random effects distribution in meta analysis. The Annals of Applied Statistics, 2010; 4(1): 520-532.

18. Finkelstein DM, Wang R, Ficociello LH, Schoenfeld DA. A score test for association of a longitudinal marker and an event with missing data. Biometrics, 2010; 66(3): 726-732.

19. Wang R, Lagakos SW. Inference after variable selection using restricted permutation methods. Canadian Journal of Statistics, 2009; 37(4), 625-644.

20. Wang R, Lagakos SW. On the use of adjusted cross-sectional estimators of HIV incidence. The Journal of Acquired Immune Deficiency Syndromes (JAIDS), 2009; 52(5):538-47.

21. Wang R, Lagakos SW, Ware JH, Hunter DJ, Drazen JM. Statistics in medicine – reporting of subgroup analyses in clinical trials. New England Journal of Medicine 2007; 357:2189-94.