Clinical & Translational Science Institute Online Learning Programs | NYU Langone Health

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Clinical & Translational Science Institute Education Clinical & Translational Science Institute Online Learning Programs

Clinical & Translational Science Institute Online Learning Programs

NYU Langone’s Clinical and Translational Science Institute offers self-paced, online training in partnership with the Institute for Innovations in Medical Education for medical students, graduate students, and house staff who are undertaking a translational research project.

Introduction to Clinical Research Design

Introduction to Clinical Research Design is a two-part course designed to help new investigators develop their first translational research project.

Part one, taught by Robert N. Link, MD, associate professor in NYU Langone’s Department of Medicine, consists of four modules that progress from the initial steps of writing a research question through choosing a study design, developing a hypothesis, calculating a sample size, recruiting and enrolling subjects, taking measurements, and analyzing results.

In part two, Arthur H. Fierman, MD, associate professor in the Department of Pediatrics, explains the differences in types of cohort studies, including how to decide whether a cohort study is the best choice for your research design and the limitations of each type.

To access the course, login to Compass (a Kerberos ID and password are required). For assistance with technical questions, contact edtech@nyulangone.org.

Introduction to Biostatistics

Introduction to Biostatistics presents fundamental concepts of statistical theory and practice as they are applied in the context of translational and clinical research.

Course directors Judith D. Goldberg, ScD, and Linda Rolnitzky, MS, cover topics such as tools for describing central tendency and variability data; methods for performing inference on population means and proportions; statistical hypothesis testing; and study design issues, including power and sample size and random samples. Learning activities are geared more toward interpretation and conceptual understanding than formulae and computational elements.

To access the course, login to Brightspace (a Kerberos ID and password are required). For assistance with technical questions, contact ctsbiostatistics@nyulangone.org.