ICRT-Dubai Learning Model

The Introduction to Clinical Research Training – Dubai program curriculum will deliver introductory training in clinical research. The program consists of online lectures, live webinar sessions and two three-day workshops in Dubai, United Arab Emirates. Content includes epidemiology, biostatistics, study design, scientific writing, dissection of scientific papers, management and leadership.

Workshops

The interactive workshop curriculum will focus on hands-on development of clinical research skills. Key elements of the workshop will include practical exercises in manuscript and research proposal development, critical assessment of the medical literature and practical training in statistical software using real-life data sets. In addition, we provide training in mentorship, academic career development and leadership, and create a comfortable active learning environment where opportunities for knowledge retention and networking abound.

Workshop 1: March 7–9, 2020 (Dubai)
Workshop 2: September 19–21, 2020 (Dubai)

Teamwork

Teams will work together on assignments throughout the duration of the program. The team assignments are designed to promote collaboration and interaction. Students will be randomly allocated to teams at the beginning of the program. All members of the team are expected to contribute to team assignments and present team assignments to faculty.

Assignments

All students will be expected to complete assignments and quizzes which will be graded as "pass" or "fail.".

  • Online Lectures & Webinars

    Online Lectures
    Introduction to Epidemiology

    Introduction, overview, definition, outcome measurements
    Causal Inference; measures of association
    Study design - Randomized controlled trials
    Study design - Cohort Studies
    Study design - Case-Control studies
    Confounding and Bias
    Methods for Controlling Confounding, Matching, Effect Modification

    Introduction to Biostatistics

    Introduction, measures of location, normal distribution
    Estimation, Central Limit Theorem, Confidence Intervals
    Hypothesis testing, one-sample and two-sample t-tests
    Hypothesis testing, non-parametric one-sample and two-sample t-tests
    Analysis of proportions
    Power and Sample Size
    Introduction to Linear Regression
    Multiple Linear Regression
    Introduction to Logistic Regression

    Stata Programming

    Stata Workshop 1
    Stata Workshop 2
    Stata Workshop 3
    Stata Workshop 4
    Stata Workshop 5
    Stata Workshop 6
    Stata Workshop 7
    Stata Workshop 8

    Clinical Trials

    Introduction
    Design and Ethical Considerations
    Protocol and Endpoints
    Population, Recruitment and Baseline Assessment
    Randomization, Stratification and Blinding

    Ethics

    Protection of Subjects
    Informed Consent: Role of the Institutional Review Board
    Ethical Issues in Children

    Webinars

    Epidemiology Lectures Question and Answer
    Introduction to Stata
    Hypothesis testing with Stata
    Biostatistics Question and Answer
    Power and Sample Size Using Stata
    Ethics Case Study with Question and Answer
    How to PubMed
    Epidemiology Final Exam Review Session
    Biostatistics Final Exam Review Session

  • Academic Requirements

    All students must complete the following academic and attendance requirements in order to be granted a Certificate of Completion from Harvard Medical School.

    Workshop Attendance Requirements

    Attendance at the program's workshops is a requirement. If a student cannot attend a workshop, a petition must be submitted to the ICRT Education Committee for review and approval.

    Assignments & Quizzes

    Students are required to complete and pass all individual assignments and quizzes, and actively participate and contribute to team assignments, including team presentations.

    Webinar Attendance

    The program requires students to attend scheduled live webinars. If a student cannot attend a live webinar due to occasional scheduling conflicts, it is possible to review the recording of the webinar. Students are expected to view a minimum of 75% of the webinars.