Online Training Courses

At present there are two courses available, click on the links below: 

Introduction to Clinical Research: A Web-based Self-study Program

The Division of Biostatistics' Introduction to Biostatistics Online Modules

Introduction to Clinical Research: A Web-based Self-study Program

In this highly-interactive web program, we provide an introduction to the design and performance of clinical research projects. Text, video and animation intersperse with multiple choice and free text questions to provide you with an easy-to-follow, on-your-own time way to understand the basic principles of clinical research. 

At present, Part I of the program is complete, but Part II is still under development; we will be making our Part II modules available as they are completed. 

This project is sponsored by the Translational Research, Education and Careers (TREC) section of the NYU Clinical and Translational Science Institute, and developed for the web by the NYU School of Medicine Department of Educational Informatics. We eventually hope to be able to offer this program both as a self-study and as a formal, proctored on-line course as part of a Certificate Program in Translational Research. 

Part I: Basic Principles of Clinical Research

In these four modules, Dr. Robert Link introduces you to the fundamental principles of clinical research.

Module 1: Designing a Research Question (Robert Link, MD)

Module 2: Subjects and Sampling (Robert Link, MD)

Module 3: Clinical Results-Assessing Outcomes (Robert Link, MD)

Module 4: Hypothesis Testing (Robert Link, MD)

Part II: Survey of Clinical Study Methodologies

In this part of the courses, we examine individual study methodologies: their strengths, their weaknesses, and when and how to decide which methodology may be right for your individual study.

Module 1: Cohort Studies (Arthur Fierman, MD)

To access the modules click on the links above or, please:

  1. Log into NYU School of Medicine Compass System with your kerberos ID or NetID and password
  2. If you do not have a Kerberos ID or Net ID and Password, click on 'Non-NYU Login' and follow the instructions provided
  3. Click on 'CTSI TREC' tab
  4. Click on any of the modules to view content

For technical questions, please contact: ALEX Support


Robert N. Link, MD, MPH — Course Director — Dr. Link is Associate Professor of Medicine at NYU School of Medicine and the Director of Clinical Services for Bellevue Hospital Center of the New York Health and Hospitals Corporation, where he previously served as Chief of the Medical Service.

Arthur Fierman, MD — Author/Instructor, Cohort Studies Module — Dr. Fierman is Associate Professor of Pediatrics, Director of the Division of General Pediatrics at NYU School of Medicine, as well as the Director of Pediatric Ambulatory Care at Bellevue Hospital Center.  He also serves as the Associate Director of the NYU CTSI Masters Program in Clinical Investigation, Translational Track and Principal Investigator of the NYU Primary Care Research Training Program. Dr. Fierman has had a career-long interest in clinical and research training for medical students, residents and fellows. He has collaborated on a wide variety of clinical research projects focusing on problems in health services delivery for underserved populations of children, including such topics as immunization delay, lead toxicity, childhood obesity, school-based health care and issues in growth and development.

Colleen Gillespie, PhD, is Assistant Professor of Medicine in the Division of General Internal Medicine at NYU School of Medicine, and CTSI Director of Evaluation and Tracking. She is an expert in assessment methodologies and has a particular interest in education research, health services research and program evaluation.

TREC (Translational Research Education and Careers)—is the education and training unit of the NYU Clinical and Translational Sciences Institute.  TREC aims to provide skills mentoring and other resources to individuals aspiring to successful careers in clinical and translational research. TREC consists of multiple programs, including masters programs in translational and comparative effectiveness research; NIH-funded KL2 and TL1 programs; and other programs to support both early career investigators and anyone within the NYU CTSI community seeking to move their work to a different level. 

Division of Educational Informatics The NYU Division of Educational Informatics supports the educational goals of the NYU School of Medicine through innovation in, and institution of new technologies that promote communication, teaching and learning across the NYU community. The Division’s expertises include not only learning technologies, but learning methodologies and psychology. For more information about DEI and its staff, click here.

The Division of Biostatistics' Introduction to Biostatistics Online Modules

Introduction to Biostatistics has been made available online. This course, developed by Johns Hopkins Bloomberg School of Public Health and adapted by NYU School of Medicine’s Division of Biostatistics, presents fundamental concepts of statistical theory and practice as they are applied in the context of translational and clinical research.

Specific topics include tools for describing central tendency and variability in data; methods for performing inference on population means and proportions; statistical hypothesis testing; and random sample and other study design issues.

You have the choice of taking the entire course and receiving a certificate of completion if you pass a post-test exam, or limiting your study to selected modules.

To enroll yourself in this course, please:

  1. Log into ALEX ( with your kerberos ID or NetID and password
  2. On your My Workspace site, select 'Membership' from the left-hand menu of options
  3. Click 'Joinable Sites' at the top of the Membership page
  4. Find CTSI Introduction to Biostatistics (the second option in the list) and click 'Join'
  5. A CTSI Introduction to Biostatistics tab will show up at the top of the page
  6. Click on 'Resources' to view the course material

For technical questions about ALEX, please contact: ALEX Support