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Biostatistics

The Biostatistics track within the Health Sciences Integrated PhD Program (HSIP) provides students with comprehensive training in the biostatistical methodology and applications, with emphasis on collaboration in biomedical research, including clinical, translational, and basic sciences. The program prepares students for independent research as methodologists and collaborators. Upon graduation, our students will be well prepared to pursue careers in academia, industry, government, or non-profit organizations.

Meet our faculty

Courses

 Required Courses

  • HSIP 400 Interdisciplinary Health Sciences Doctoral Colloquium
  • STAT 420-1 Introduction to Statistical Theory & Methodology 1
  • STAT 420-2 Introduction to Statistical Theory & Methodology 2  
  • STAT 420-3 Introduction to Statistical Theory & Methodology 3
  • STAT 350 Regression Analysis or EPI BIO 402 Intermediate Biostatistics
  • BIOSTAT 302 Introduction to Biostatistics
  • BIOSTAT 306 R Programming
  • BIOSTAT 521 Survival Analysis
  • BIOSTAT 560 Statistical Consulting (0.5)
  • BIOSTAT 441 Ethical Issues in Clinical Research (0.5)
  • BIOSTAT 445 Writing and Peer Reviewing for Publication

 Recommended Electives
Choose 3 or more; other electives may be taken with adviser approval

  • BIOSTAT 301 Introduction to Epidemiology
  • BIOSTAT 305 Applied Statistical Programming in SAS
  • BIOSTAT 401 Intermediate Epidemiology
  • BIOSTAT 429 Systematic Review / Meta-Analysis
  • BIOSTAT 445 Data Science for Clinical, Translational, and Population Researchers
  • BIOSTAT 501 Advanced Epidemiology
  • BIOSTAT 502 Advanced Biostatistics
  • BIOSTAT 527 Statistical Methods for Missing Data
  • BIOSTAT 529 Statistical Genetics
  • HQS 440 Fundamental Methods in Healthcare Quality and Patient Safety
  • HSIP 401 Introduction to Health Measurement Science
  • HSR 425 Introduction to Quantitative Methods in Health Services & Outcomes Research
  • HSR 462 Grant Writing
  • HSIP 440 Introduction to Medical Informatics
  • HSIP 441 Informatics Methods I
  • HSIP 442 Informatics Methods II
  • HSIP 442 Informatics Methods III
  • PUB HLTH 446 Clinical Trials
  • STAT 328 Causal Inference
  • STAT 344 Statistical Computing
  • STAT 351 Design and Analysis of Experiments
  • STAT 348 Applied Multivariate Analysis
  • STAT 352 Nonparametric Statistical Methods
  • STAT 425 Sampling Theory and Applications
  • STAT 439 Meta-Analysis
  • STAT 455 Advanced Qualitative Data Analysis
  • STAT 456 Generalized Linear Models
  • STAT 457 Applied Bayesian Inference
  • STAT 465 Statistical Methods for Bioinformatics and Computational Biology