معرفی
Dr. Siyu Heng is Assistant Professor of Biostatistics at NYU's School of Global Public Health. His methodological research advances causal inference techniques for observational health data and clinical trials, with applications in public health epidemiology. Heng develops sensitivity analyses for unmeasured confounding and addresses measurement errors in complex surveys.
Award-winning research includes:
- Novel approaches for missing data in longitudinal studies
- Instrumental variable methods for treatment effect estimation
- Bias correction in large-scale health surveys
Research connects statistical theory with public health priorities through collaborations on mental health interventions, environmental epidemiology, and health disparity studies. His work enhances rigor in evidence generation for policy decisions.
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