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The Biostatistics PhD program prepares students for careers as academic, industry, or government biostatisticians. This program caters to professionals aiming to earn an advanced degree focused on statistical theory and methods for biomedical and clinical research. Graduates will develop expertise in probability, statistical inference, hypothesis testing, experimental and observational study design, statistical computing, and data analysis. Faculty research areas encompass estimation theory, multivariate analysis, survival analysis, clinical trials, statistical genetics, disease surveillance, robust statistics, longitudinal data analysis, time series, regression modeling for correlated data, causal inference, and experimental design.
Program Objectives
PhD candidates in Biostatistics must exhibit comprehensive understanding of the field while generating novel knowledge through significant contributions, achieved by:
Mastering biostatistical theory and applications at an advanced level, evidenced by coursework performance and comprehensive exams.
Producing an independent, innovative, and meaningful contribution to biostatistics, evaluated through dissertation defense.
Advancing scholarship by staying current with biostatistical developments and engaging in professional growth through society participation and publications.
Maintaining professional and ethical standards in all scholarly activities, adhering to disciplinary best practices.