Press Articles about My Work:

Making a Name: Up-and-Coming Statisticians (AMSTAT NEWS, Sept 2008)

Funded Research Projects:

Current Project

07/15/2014 - 06/30/2017: Collaborative research: A major leap forward: Optimal designs for correlated data, multiple objectives, and multiple covariates, PI, Division of Mathematical Science, National Science Foundation, DMS-1407518

 

Completed Projects

06/01/2008 - 05/31/2015: CAREER: Optimal Design of Experiments for Generalized Linear Models, PI, Division of Mathematical Science, National Science Foundation, DMS-0748409 and DMS-1322797 (Extension)

 

06/01/2007 - 05/31/2010: Collaborative Research: Optimal Design of Experiments for Categorical Data, PI, Division of Mathematical Science, National Science Foundation, DMS-0707013

 

07/15/2003 - 06/30/2007: Crossover Designs For Comparing Test Treatments with a Control Treatment: Optimality, Efficiency, and Robustness, PI, Division of Mathematical Science, National Science Foundation, DMS-0304661 (The award was made to the University of Nebraska and later transferred to the University of Missouri under project award number DMS-0600943).

Chapter Books

1. Optimal designs for generalized linear models, (with John Stufken), Design and Analysis of Experiments, Vol.3 (Hinkelmann, K. ed.). [PDF]

2. Designs for selected non-linear models, (with Bidermann, S.), Handbooks on Modern Statistical Methods, Design of Experiments (Bingham, D., Dean, A., Morris, M., and Stufken, J. ed.). [PDF]

Publications

24. Saturated locally optimal designs under differentiable optimality criteria, (with L. Hu and J. Stufken), Ann. Statist., 43, 30-56, 2015, [PDF]

23. Optimal designs for some selected nonlinear models, (with A. S. Hedayat and Y. Zhou), J. Statist. Plann. Inference.,, 154, 102-115, 2014 [PDF]

22. On optimal designs for nonlinear models: a general and efficient algorithm, (with S. Biedermann and E. Tang), J. Amer. Statist. Assoc., 108, 1411-1420, 2013 [PDF]

21. Optimal adaptive design for dose-finding studies based on Sigmiod Emax model, (with T. Wang), J. Statist. Plann. Inference., 144, 188-197, 2014, [PDF]

20. Identifying locally optimal designs for nonlinear models: A simple extension with profound consequences, (with John Stufken), Ann. Statist., 40, 1665-1681, 2012, [PDF]

19. On locally optimal designs for generalized linear models with group effects (with John Stufken), Statistica Sinica, 22, 1765-1786, 2012, [PDF]

18. The evaluation of statistical methods for estimating the lower limit of detection, (with S. Huang and T. Wang), ASSAY and Drug Development Technologies, 11, 35-43, 2013 [PDF]

17. A procedure for finding an improved upper bound on the number of optimal design points, (with S. Hyun and N. Flournoy), Comput. Stat. Data An., 58, 276-282, 2013 [PDF]

16. Optimal designs for response functions with a downturn, (with S. Hyun and N. Flournoy), J. Statist. Plann. Inference., 141, 559-575, 2011, [PDF]

14. Optimal designs for binary response experiments with multiple variables, (with B. Zhang and S. Huang), Statistica Sinica, 21, 1415-1430, 2011, [PDF]

13. On the de la Garza Phenomenon, Ann. Statist., 38, 499-2524, 2010, [PDF], [Full Version PDF]

12. Support points of locally optimal designs for nonlinear models with two parameters (with John Stufken), Ann. Statist., 37, 518-541, 2009 [PDF]

11. A-optimal designs for generalized linear model with two parameters, J. Statist. Plann. Inference., 138, 624-641, 2008 [PDF]

10. Optimal and efficient crossover designs for comparing test treatments to a control treatment under various models (with John Stufken), J. Statist. Plann. Inference., 138, 278-285, 2008 [PDF]

9. Ridge Regression Estimation for Survey Samples (With M. Park), Comm. Statist. A - Theory Methods, 37, 532-543, 2008 [PDF]

8. Efficient crossover designs for comparing test treatments with a control treatment when p=3 (with M. Park), J. Statist. Plann. Inference., 137, 2056-2067, 2007 [PDF]

7. Efficient crossover designs for comparing test treatments with a control treatment (with A. S. Hedayat), Discrete Math., 306, 3112 - 3124, 2006 [PDF]

6. Optimal and efficient crossover designs when subject effects are random (with A. S. Hedayat and J. Stufken), J. Amer. Statist. Assoc., 101, 1031-1038, 2006 [PDF]

5. Strong consistency of MLE in nonlinear mixed-effect models with large cluster size (with L. Nie), Sankhya, 67, 736--763, 2005 [PDF]

4. Optimal and efficient crossover designs for comparing test treatments with a control treatment (with A. S. Hedayat), Ann. Statist., 33, 915--943, 2005 [PDF]

3. Universal optimality for selected crossover designs (with A. S. Hedayat), J. Amer. Statist. Assoc., 99, 461-466, 2004 [PDF]

2. Universal optimality in balanced uniform crossover design (With A. S. Hedayat), Ann. Statist. 31, 978-983, 2003. [PDF]

1. Statistical methods in assessing agreement: model, issues & tools (with Lawrence Lin, A. S. Hedayat, and Bikas Sinha),  J. Amer. Statist. Assoc., 97, 257-270, 2002. [PDF]

Computer Programs for Download:

Computer programs for constructing optimal/efficient crossover designs for comparing tests treatments with a control treatment

On optimal designs for nonlinear models: a general and efficient algorithm

 

Technical report:

1. On Multiple-Objective Nonlinear Optimal Designs (with Qianshun Cheng and Dibyen Majumdar) [PDF].

Submitted manuscripts

Submitted paper

1.On optimal designs for nonlinear models: a general and efficient algorithm (with S. Biedermann and Y. Tang), submitted [PDF]