Tom Bohman received his Ph.D. in Human Development and Family Science from The University of Texas at Austin in 1995. He has over 20 years of research experience: statistical consultation; grant proposal development; project management; database management; interpretation and write-up results; training and supervision of graduate students on data analysis; and teaching in a variety of complex, research oriented computing environments. He currently leads the evaluations for two large Federal Demonstration projects. Screening, Brief Intervention, Referral, and Treatment (SBIRT) is a five-year, $17 million targeted capacity expansion grant funded by SAMHSA. Demonstration to Maintain Independence and Employment is a three-year, $26 million clinical trial funded by CMS. Bohman also serves as co-principal investigator for NIH-funded projects related to developing diagnostic markers of bilingual language development problems and identifying complementary and alternative medicine usage in African-Americans. Bohman has developed and taught seminars on statistical computing including structural equations modeling and has extensive statistical knowledge regarding hierarchical linear models, structural equations modeling, power analysis, analyzing family/couple data, longitudinal data analysis, categorical data analysis. He is a past-president of the Austin chapter of the American Statistical Association.

Professional Interests

Substance abuse; evaluation; survey research; design and analysis of longitudinal research studies with particular focus on prevention studies; analysis of non-independent data (e.g., data from families); multilevel modeling; generalized linear models; complex survey sampling.