G-BST-PHD - Biostatistics - PhD

In general, the PhD in Biostatistics includes the following components:

• First year that focuses on basic statistical theory and methods, communication and the biomedical context

• Second year includes more advanced inference and theory of linear models, along with specialized training in categorical data analysis, survival analysis, generalized linear models, and analysis of correlated and longitudinal data

• Five elective courses to broaden the breadth of knowledge with two courses in a ‘cognate’ field such as epidemiology, biology, biophysics, environmental health, genetics, etc., to complement the student's biostatistical area of interest

Distinguishing Features

The Duke program offers several novel features that extend the training of our students beyond that found in a traditional biostatistics program. The core curriculum contains the following novel courses:

1. A course sequence (BIOSTAT 703 and BIOSTAT 706) emphasizing biomedical concepts and communication

2. A survey course of modern inferential techniques and theory (BIOSTAT 911) targeted specifically to advanced graduate students

3. A student-led seminar, Current Problems in Biostatistics (BIOSTAT 900). Students explore topics in blocks that involve student presentations and invited talks from faculty and other experts in the field