Skip to Main Content

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

2020-21 Matriculation
The Ph.D. degree requires a total of 16 course units. Course substitutions must be identified and approved by the student’s advisor 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 - 1unit
  • EPH 600 Research Ethics and Responsibilities - 0 unit
  • BIS 525 Seminar in Biostatistics and Journal Club - 0 unit
  • 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 unit
  • BIS 695 Summer Internship in Implementation Science Methods Research - 0 unit
  • BIS 678 Statistical Practice I - 1 unit
  • BIS 610 Applied Area Readings for Qualifying Exams - 1 unit
  • EMD 533 Implementation Science - 1 unit (Acceptable to take after 2nd year. Material not part of qualifying exams.)
  • EPH 608 Frontiers of Public Health ** - 1 unit (Acceptable to take after 2nd year. Material not part of qualifying exams.)
  • 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 (Choose at least 3 course units from below)

  • HPM 611 Policy Modeling^ - 1 unit
  • SBS 541 Community Health Program Evaluation^ - 1 unit
  • SBS 574 Developing a Health Promotion and Disease Prevention Intervention^ - 1 unit
  • SBS 580 Qualitative Research Methods in Public Health^ - 1 unit
  • BIS 557 Computational Statistics - 1 unit
  • BIS 567 Bayesian Statistics - 1 unit
  • BIS 646 Nonparametric Statistical Methods and Their Applications - 1 unit
  • BIS 536 Measurement Error and Misclassification - 1 unit
  • S&DS 541 Probability Theory or Advanced Probability - 1 unit (Strongly recommended)
  • S&DS 565 Applied Data Mining and Machine Learning - 1 unit
  • S&DS 600 Advanced Probability - 1 unit
  • CDE 516 Principles of Epidemiology II - 1 unit
  • CDE 534 Applied Analytic Methods in Epidemiology - 1 unit
  • EMD 538 Quantitative Methods for Infectious Disease Epidemiology - 1 unit
  • HPM 570 Cost-Effectiveness Analysis and Decision Making^ - 1 unit
  • HPM 583 Microeconomics for Health Policy and Management - 1 unit
  • HPM 587 Advanced Health Economics - 1 unit
  • SBS 676 Questionnaire Development - 1 unit

Additional Courses

More on electives: Implementation and Prevention Science is an inter-disciplinary field. The more broadly you are trained, the more effective you will be as an independent statistical researcher as well as a collaborator.

^ Strongly recommended

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

rev. 9.23.2020

Research projects carried out by recent Biostatistics PhD graduates

  • Bayesian Design and Monitoring of Clinical Trials
  • A Latent Variable Model for Linkage Analysis
  • Statistical Methods for Haplotype Analysis in Genetic Studies
  • Statistical Design and Analysis for Post-Marketing Studies of Rare Adverse Events
  • Spatio-Temporal Modeling of No)2 in the Presence of Multiple Data Sources with Missing Data by Design
  • Estimating Density of Nymphal Deer Ticks (Lyme Disease Vector) using a Novel Dynamic Spatiotemporal Zero-inflated Regression Model
  • Covariate-adjusted Response-adaptive Randomization Procedures in Multi-arm Clinical Trials with Continuous Response Variables
  • Topics on Analyzing Recurrent Event Data with Sparsely Observed Longitudinal Information