Dei-in Tang, Ph.D.
Dr. Tang was trained in Mathematics and Mathematical Statistics. His early mathematical statistical work in a medical environment was in development of clinical trial methodology, specifically dealing with issues of multiple endpoints and sequential analyses, and the integration of the two into a unified framework. His more recent work has mostly been to provide statistical support to various mental health care research projects. Some ensuing statistical issues are to find less rigid ways to enable analyses of many outcome variables and quasi-random experiments that are typical in health care research. Newer statistical approaches, such as CART, that do not depend on a traditional estimation and hypothesis testing paradigm are also of interest. Additional longstanding statistical interests are hierarchical modeling and nonlinear time response curve.
Cain CK, McCue M, Bello I, Creedon T, Tang DI, Laska E, Goff DC. d-Cycloserine augmentation of cognitive remediation in schizophrenia. Schizophr Res. 2014 Mar;153(1-3):177-83.
Siegel CE, Haugland G, Laska EM, Reid-Rose LM, Tang DI, Wanderling JA, Chambers ED, Case BG. The Nathan Kline Institute cultural competency assessment scale: psychometrics and implications for disparity reduction. Adm Policy Ment Health. 2011 Mar;38(2):120-30.
Siegel CE, Samuels J, Tang DI, Berg I, Jones K, Hopper K. Tenant outcomes in supported housing and community residences in New York City. Psychiatr Serv. 2006 Jul;57(7):982-91.
Tang DI, Geller NL. Closed testing procedures for group sequential clinical trials with multiple endpoints. Biometrics. 1999 Dec;55(4):1188-92.
Laska EM, Meisner M, Tang DI. Classification of the effectiveness of combination treatments. Stat Med. 1997 Oct 15;16(19):2211-28.