ICRT Japan learning model

The Introduction to Clinical Research Training–Japan program curriculum will deliver introductory training in clinical research.  The program consists of online lectures, live interactive webinar sessions and two four-day workshops in Okinawa, Japan. Content includes epidemiology, biostatistics, programming in Stata, study design, ethical issues, scientific communication, clinical trials and research leadership concepts.


Workshops focus on accelerating the development of high-yield clinical research skills via hands-on experience. The program helps students build a substantial skill set through intensive team-based and individual workshop exercises. Essential workshop elements include research question development and study design, practical programming training in statistical software using real-life data sets and critical methodological assessment of the clinical research literature. In addition, the program includes training in mentorship, academic career development and research program leadership. The workshops take place in a learning environment that encourages collaboration and collegial networking with faculty and other students. 

The curriculum begins and ends with two-intensive, four-day, in-person workshops.

Attendance at the workshops is mandatory. 

Workshop 1

January 9–12, 2020
Okinawa Institute of Science and Technology Graduate University
1919-1 Tancha, Onna-son, Kunigami-gun
Okinawa, Japan 904-0495

Workshop 2

July 9–12, 2020
Okinawa Institute of Science and Technology Graduate University
1919-1 Tancha, Onna-son, Kunigami-gun
Okinawa, Japan 904-0495


Teams work together on assignments throughout the duration of the program. The team assignments are designed to promote collaboration and interaction during and between workshops. At the start of the program, students will be randomly allocated to teams. All members of the team are required to contribute to team assignments and present their work to faculty.


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 and Effect Modification

    Introduction to Biostatistics

    Introduction, measures of location normal distribution
    Estimation, central limit theorem and 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

    Design and ethical considerations
    Protocol and endpoints
    Population, recruitment and baseline assessment
    Randomization, stratification and blinding


    Protection of subjects
    Informed consent: role of the institutional review board
    Ethical issues in treating children

    Scientific Communication

    Manuscript overview, content and order of creation
    The manuscript abstract
    Recipe for an introduction
    Methods and results
    Data visualization
    Recipe for a discussion
    Enhancing speaking skills
    Engaging presentations

    Special Topics

    Management and Leadership in Academic Medicine


    Epidemiology lectures with 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