معرفی
Abdus S Wahed is a Professor in the Department of Biostatistics at the University of Pittsburgh. His research specializes in statistical methods for personalized medicine, particularly dynamic treatment regimes through sequentially randomized designs, multivariate longitudinal data analysis, and survival analysis with misclassified events.
His educational background includes:
- 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
Dr. Wahed's work focuses on developing adaptive treatment strategies for personalized medicine, including methods for screening viable regimes from observational data and identifying critical variables for dynamic decision-making. His methodological interests extend to analysis of censored survival data, length-biased sampling, and joint modeling of longitudinal-time-to-event data with measurement error. Collaborative projects address depression treatment sequencing, bariatric surgery risk prediction, hepatitis clinical trials, and weight-loss interventions.
Recent publications (2021-2022) demonstrate expertise in sequential multiple assignment randomized trials (SMART), prognostic accuracy for ordinal competing risks via ROC surfaces, and evaluation of parametric/nonparametric methods for effect measure modification. These contributions advance biostatistical methodology for adaptive clinical trials, causal inference, and personalized treatment optimization.
As a professor, Dr. Wahed teaches graduate courses including Linear Models, Estimation Theory, Likelihood Theory, Longitudinal Data Analysis, and Missing Data in Clinical Studies. His research likely involves mentoring graduate students and securing grants in biostatistical methodology and clinical collaborations, though specific details are not provided in the source text.
