Directory Calendar Careers Alumni Giving

Abdus S Wahed, PhD

Professor, Biostatistics

Director of PhD Graduate Program, Biostatistics

Editor, Journal of Statistical Research

Contact

7136 Parran Hall, 130 DeSoto Street, Pittsburgh, PA 15261
R-znvy: jnurq@cvgg.rqh
Primary Phone: 967-179-8508
Web site:


Personal Statement

My current major research interest is in personalized medicine – development of statistical methods for testing dynamic treatment regimes (adaptive treatment strategies) through sequentially randomized designs, for screening viable treatment regimes from observational data, and for identifying important variables for forming dynamic treatment regimes. Other methodological research interest includes multivariate ordinal longitudinal data analysis, survival analysis in the presence of misclassified events, and analysis of variance for censored survival data, length biased data, and joint modeling of longitudinal and time-to-event data measured with error. My collaborative research interest includes development of multi-stage depression treatment regimes, sequential treatment decisions in depression treatment, development of risk scores for complications in bariatric surgery, analysis of outcomes in hepatitis B and C clinical trials and cohort studies, and weight loss in young adults.


Education

Ph.D., Statistics (2003), North Carolina State University, Raleigh, NC
M.A., Mathematical Statistics (2000), Ball State University, Muncie, IN
M.Sc., Statistics (1994), University of Dhaka, Bangladesh
B.Sc., Statistics (1992, Minor: Economics and Mathematics), University of Dhaka, Bangladesh


Selected Publications

  1. Xu, Y, Müller, P, Wahed, AS, and Thall, PF. (2016). Bayesian Nonparametric
    Estimation for Dynamic Treatment Regimes with Sequential Transition Times; In
    Press, J. of the Am. Stat. Assoc. DOI: 10.1080/01621459.2015.1086353 
  2. Jaman, A, Latif, AHMM, Bari, W, and Wahed, AS (2015). A determinant-based
    criterion for working correlation structure selection in generalized estimating
    equations. In Press, Statistics in Medicine.
  3. Ogbagaber, SB, Karp, J, and Wahed, AS (2015). Design of sequentially randomized
    trials for testing adaptive treatment strategies. Early view, Statistics in
    Medicine. Article first published online: 27 SEP 2015 | DOI: 10.1002/sim.6747
  4. Dong, X, Kong, L, and Wahed, AS (2015). Accelerated failure time model for case-cohort
    design with longitudinal covariates subject to measurement error and detection
    limits. In Press, Statistics in Medicine. 
  5. Tang, X, and Wahed, AS (2015). Pattern-mixture-type Estimation and Testing of
    Neuroblastoma Treatment Regimes. Journal of Statistical Theory and Practice Vol
    9, Issue 2, pp 266-287.
  6. Huang, X, Ning, J, Wahed, AS (2014). Optimization of individualized dynamic treatment regimes for recurrent diseases. Statistics in medicine 33.14 (2014): 2363-2378.
  7. Kidwell, K, Ko, JH, and Wahed, AS (2014). Inference for Median Residual Life under Sequentially Randomized Trials. Statistics in medicine 33.9 (2014): 1503-1513.
  8. Adeniji, A, Belle, SH, and Wahed, AS (2014). Incorporating Diagnostic Accuracy into the Estimation of Discrete Survival Function. Journal of Applied Statistics. Volume 41, Issue 1, 2014, PP 60-72
  9. Tang, X, and Wahed, AS (2014). Cumulative Hazard Ratio Estimation for Treatment Regimes
    in Sequentially Randomized Clinical Trials. Statistics in Biosciences,10.1007/s12561-013-9089-6.
  10. Kidwell, KM and Wahed, AS (2013). Weighted Log-rank Statistic to Compare Shared-Path Adaptive Treatment Strategies. Biostatistics. 2013 Apr;14(2):299-312. doi:
    10.1093/biostatistics/kxs042. 
  11. Wahed, AS, and Thall, PF (2013). Evaluating Joint Effects of Induction-Salvage Treatment Regimes on Overall Survival in Acute Leukemia. 
    Journal of Royal Statistical Society, Series C. Appl. Statist. (2013) 62, Part 1, pp. 67–83
  12. Miyahara, S, and Wahed, AS (2012). Assessing the Effect of Treatment Regimes on
    Longitudinal Outcome Data: Application to REVAMP Study of Depression. Journal
    of Statistical Research. Vol. 46 (2), 233-254
  13. Ko, JH, and Wahed, AS (2012). Up-front vs. Sequential Randomizations for
    Inference on Adaptive Treatment Strategies. Statistics in Medicine, Volume 31,
    Issue 9, pages 812–830, 30 April 2012.
  14. Tang, X, and Wahed, AS (2011). Comparison of Treatment Regimes with Adjustment for Auxiliary Variables. Journal of Applied Statistics, 2011; 38: 2925-2938.
  15. Wahed, AS (2011). On the Equivalence of Inverse-Probability-of-Censoring-Weighted and Kaplan-Meier Estimators. Invited Article, Journal of the Applied Statistical Science, Volume 18, Issue 4.
  16. Miyahara, S, and Wahed, AS (2010). Weighted Kaplan-Meier Estimators for Two-Stage
    Treatment Regimes. Statistics in Medicine, 2010; 29: 2581-2591.
  17. Wahed , AS (2010).Inference for Two-Stage Adaptive Treatment Strategies Using Mixture
    Distributions. Journal of Royal Statistical Society Series C (Applied Statistics) Appl. Statist. (2010)  59. 
  18. Wahed, AS (2010). Unbiased Estimator. Encyclopedia of Research Design. Edited by Neil J. Salkind, Sage Publications, Newbury Park, CA.
  19. Wahed, AS (2010). Adaptive Designs in Clinical Trials. Encyclopedia of Research Design. Edited by Neil J. Salkind, Sage Publications, Newbury Park, CA.
  20. Wahed, AS and Miyahara, S. (2010). Group Sequential Designs in Clinical Trials. Encyclopedia of Research Design. Edited by Neil J. Salkind, Sage Publications, Newbury Park, CA.
  21. Wahed, AS and Tang, X.  (2010). Analysis of Variance. Encyclopedia of Research Design. Edited by Neil J. Salkind, Sage Publications, Newbury Park, CA.
  22. Wahed, AS and Hsu, J. (2010). Cause-and-Effect. Encyclopedia of Research Design. Edited by Neil J. Salkind, Sage Publications, Newbury Park, CA.
  23. Feng, W and Wahed, AS (2009). Sample Size for Two-Stage Studies with Maintenance Therapy. Statistics in Medicine, 2009; 28: 2028-2041
  24. Wahed, AS ,Luong, T, and Jeong, J-H (2009). A new generalization of Weibull distribution with application to a breast cancer data set. Accepted, Statistics in Medicine, 2009;
    28: 2077-2094
  25. Wahed, AS (2009). Estimation of survival quantiles in two-stage randomization designs, Journal of Statistical Planning and Inference 139 (2009) 2064 – 2075.
  26. Feng,W and Wahed, AS (2008). A supremum log rank test for comparing adaptive treatment strategies and corresponding sample size formula, Biometrika. 95, 3, pp. 695-707.
  27. Ali, MM, Woo, J, Pal, M and Wahed, AS. (2008)  Some Skew-Symmetric Double Inverted Distributions. International Journal of Statistical Sciences. Vol. 7, pp.1-12. 
  28. Wahed, AS. (2007)  The family of curvi-triangular distributions. International Journal of Statistical Sciences, Vol 6, pp 7-18.
  29. Wahed, AS and Tsiatis, A. A. (2006) Semi-parametric Efficient Estimation of The Survival Distribution for Treatment Policies in Two-Stage Randomization Designs in Clinical Trials with Censored Data. Biometrika Vol 93: pp. 147-161.
  30. Wahed, AS. (2006)  Bayesian Inference Using Burr Model Under Asymmetric Loss Function: An Application to Carcinoma Survival Data. Journal of Statistical Research, 2006, Vol. 40, No. 1, pp. 45-57.
  31. Wahed, AS. (2006). A General Method of Constructing Extended Families of Distributions from an Existing Continuous Class. Journal of Probability and Statistical Science 4(2), 165-177.
  32. Feng, W and Wahed, AS (2006). A Review of Inferential Procedures for Survival Analysis in Two-Stage Randomization Designs. Far East Journal of Theoretical Statistics Vol. 19 (1),
    pp 117 – 139.
  33. Wahed, AS and Tsiatis, A. A.(2004). Optimal estimator for the survival distribution and related quantities for treatment policies in two-stage randomization designs in clinical trials,
    Biometrics, Vol. 60, No. 1. pp 124-133.
  34. Wahed, AS and Ali, MM (2001). The Skew-Logistic Distribution. Journal of Statistical Research, Vol. 35, No,2, pp. 71-80. 
  35. Wahed, AS and Uddin, B (1998). Bayes Estimation Under Asymmetric Loss. Dhaka University Journal of Science, Vol. 46.

 

Abdus S Wahed
© 2017 by University of Pittsburgh Graduate School of Public Health

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