Degree Requirements - PhD in Biostatistics Implementation and Prevention Science Methods Pathway
2022-23 Matriculation
The PhD degree requires a total of 16 course units. Course substitutions must be identified, and 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 OR S&DS 665 Intermediate 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
rev. 1.10.2023
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
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Additional resources for current students and faculty related to programs and requirements.