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Degree Requirements - Ph.D. in Biostatistics Implementation and Prevention Science Methods Pathway

2021-22 Matriculation
The Ph.D. degree requires a total of 16 course units. Course substitutions must be identified, approved by the student’s adviser, the Implementation Science Specialization Director, and the DGS.

PhD Required Courses (13 course units)

  • BIS 623 Advanced Regression Analysis or S&DS 612, Linear Models - 1 unit
  • EPH 508 Foundations of Epidemiology and Public Health - 1 unit
  • S&DS 610 Statistical Inference - 1 unit
  • EPH 600 Research Ethics and Responsibilities - 0 units
  • BIS 525 Seminar in Biostatistics and Journal Club - 0 units
  • BIS 691 Theory of Generalized Linear Models - 1 unit
  • BIS 628 Longitudinal and Multilevel Data Analysis - 1 unit
  • BIS 643 Theory of Survival Analysis - 1 unit
  • BIS 526 Seminar in Biostatistics and Journal Club - 0 units
  • BIS 695 Summer Internship in Implementation Science Methods Research 0
  • BIS 678 Statistical Practice I - 1 unit
  • BIS 610 Applied Area Readings for Qualifying Exams - 1 unit
  • EMD 533 Implementation Science - 1 unit
  • EPH 608 Frontiers of Public Health* - 1 unit
  • BIS 629 Advanced Methods in Implementation & Prevention Science - 1 unit
  • BIS 537 Statistical Methods for Casual Inference - 1 unit
  • BIS 631 Advanced Topics in Causal Inference - 1 unit

Elective Courses (At least 3 course units)

Implementation and Prevention Science is an interdisciplinary field. The more broadly you are trained, the more effective you will be as an independent statistical researcher as well as a collaborator.
  • BIS 557 Computational Statistics - 1 unit
  • BIS 567 Bayesian Statistics - 1 unit
  • BIS 536 Measurement Error and Missing Data - 1 unit
  • EMD 538 Quantitative Methods for Infectious Disease Epidemiology - 1 unit
  • HPM 570 Cost-Effectiveness Analysis and Decision Making** - 1 unit
  • HPM 611 Policy Modeling** - 1 unit
  • HPM 586 Microeconomics for Health Policy and Management - 1 unit
  • HPM 587 Advanced Health Economics - 1 unit
  • S&DS 541 Probability Theory or Advanced Probability** - 1 unit
  • S&DS 565 Introductory Machine Learning - 1 unit
  • SBS 574 Developing a Health Promotion and Disease Prevention Intervention** - 1 unit
  • S&DS 600 Advanced Probability - 1 unit
  • BIS 646 Nonparametric Statistical Methods and Their Applications - 1 unit
  • CDE 516 Principles of Epidemiology II - 1 unit
  • CDE 534 Applied Analytic Methods in Epidemiology - 1 unit
  • SBS 541 Community Health Program Evaluation - 1 unit
  • SBS 580 Qualitative Research Methods in Public Health** - 1 unit
  • SBS 676 Questionnaire Development - 1 unit

Additional Courses

* Students entering the program with an MPH or relevant graduate degree may be exempt from this requirement.

**Strongly recommended for Implementation Science Specialization

rev. 9.27.2021

Recent Dissertation Projects

  • Causal Inference for Intervention Effects Under Contagion
  • Statistical Methods for Identifying Shared Genetic Architecture and Genetic Risk Factors in Lung Diseases
  • Single Cell and Multi-Omics Data Integration Computational Methodologies
  • Causal Inference for Time-Varying Treatments for Hypertension
  • Ancestry-Specific Genetic and Epigenetic Association Studies of Smoking Initiation and Cessation in Admixed Populations
  • Novel Methods for Identification and Inference in Public Health
  • Genetic Covariance Analysis Reveals Heterogeneous Etiologic Sharing of Complex Traits: From Theory to Applications
  • Latent Space Construction for Analyzing Large Genomic Data Sets
  • Leveraging Genomics and Immunomics for More Precise Immunotherapy
  • Statistical Methods for Identifying Gene Experession and Epigenetic Signatures in Post-Traumatic Stress Disorder (PTSD)
  • Functional Connectivity to Link Genes to Behavior in the Human Brain