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Special lecture on advanced statistics and epidemiology in health and medicine

Last update: April 28, 2025 (Mon)

1. Overview

Relatively advanced statistical methods or laboratory data processing methods in the field of medical and health science will be given, using statistical software and sample data. The participants are expected to get the ability to apply such advanced methods to their own data.

The class will be given in hi-flex manner. Since 2025, this class is given in English for overseas students, in addition to the class in Japanese on different days.

2. Schedule

This class is held as very short intensive course.

  1. Review of perspective of statistical analysis based on the type of data and research purpose. (May 30, 1st time slot)
  2. Preparatory data manipulation methods using R (May 30, 2nd time slot)
  3. Visual inspection techniques using R: How to make intuitive graphs from raw data (May 30, 3rd to 4th time slots)
  4. Factor analysis (May 30, 5th to 6th time slots)
  5. Structural Equation Modeling (May 31, 1st to 2nd time slots)
  6. Applied regression analysis (nonlinear and multivariate regression, multilevel models) (May 31, 3rd to 5th time slots)

You can also take the class of laboratory data analysis by Dr. Sumida, but it's given in Japanese.

3. Evaluation

Based on the report, how well the participant understand the given methods will be evaluated.

Report theme: Select any one topic in this class, find an appropriate data and analyze it, then make report. Length is not fixed. Write your name and registration number in the report, send it as a pdf file, attached to e-mail to Prof. Nakazawa. Deadline is June 30.

4. Request as preparation

This class will be held as a very short intensive course. The textbook will be provided in advance, the participants should read it before the class. Bringing your own laptop computer is recommended.

Text: advstat-e.pdf.

Data: cronbach.txt, v3hw.txt, ecopx.txt

5. Office hour

Please send e-mail to minato-nakazawa[atmark]people.kobe-u.ac.jp. Even if you need a direct consultation by Professor Minato Nakazawa, please send e-mail first.

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