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Home » Department of Research Methodology and Biostatistics » [Applied Informatics Statistics] Specialist Level II - Son Tay, 2023
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[Applied Informatics Statistics] Specialist Level II - Son Tay, 2023

Published: 14:36 - 07/01/2022 Author: Lê Xuân Hưng 08:54 12/01/2023 Views: 1
🤖 AI Translation Notice: This article was automatically translated by AI from the official Vietnamese publication of the School of Preventive Medicine and Public Health (HMU). For official legal/administrative reference, please consult the original Vietnamese version →.
Course: Applied Informatics Statistics Target Audience: Specialist Level II - Son Tay
> Final examination format (computer-based test, essay, oral, etc.): Theoretical multiple-choice test

> Eligibility for the final examination
  1. Attendance at all practical sessions
  2. Theoretical session attendance > 80%
  3. Module score (assessments, feedback, lectures, surveys) > 80% (individual)
  4. Submission of individual summary report (at the end of the course)

> Course grade
= 50% multiple-choice test + 40% research proposal + 10% module participation

Module participation (10%) = Completion of all formative assessments per lesson + Completion of all feedback forms after each lesson and at the end of the course

Formative assessments per lesson: These will be reopened to help instructors identify knowledge gaps within the class. Students are required to complete these independently so that instructors can provide optimal support after each lecture and during classroom sessions. The Department does not grade these; completion is mandatory and based on academic integrity.

Feedback forms: In addition to formative assessments, the Department requires all students to complete feedback forms to enable instructors to improve teaching quality.


Course Schedule

Session Lecture
1 Introduction to Health Statistics and Research Variables
2 Data Distribution
3 Descriptive Statistics: Data Synthesis and Summarization
4 Practical Guide to Descriptive Statistics using Stata (data management, data description)
5 Inferential Statistics: Estimation and Hypothesis Testing
Selecting statistical tests to compare differences between quantitative variables (independent observations)
6 Selecting statistical tests to compare differences between qualitative variables (independent observations)
7 Paired Comparisons
8 Correlation Analysis between 2 variables (quantitative, qualitative)
9 Practical Guide to Epidata Software
10 Practical Guide to Inferential Statistics using Stata Software



(1) Log in to the E-learning system here
> Use the Gmail or Google account previously registered
> The Department will enroll students in the course based on the registration list


(2) Complete course requirements on the E-learning system here
Individuals must complete requirements within the specified time on the system after each lesson

> Watch lecture videos
> Review course materials
> Complete formative assessments after each lesson
> Complete feedback forms after each lesson


(3) Track progress on the E-learning system here

(4) Submit individual summary research proposal on the E-learning system (at the end of the course) here


INDIVIDUAL REPORT
(template here)

  1. Hard copy submission: print and submit to the Department
  2. Soft copy submission on the E-learning system

> References
  1. Textbook: Public Health Research Methods | 2013 | Medical Publishing House

  2. Guidelines for Developing Medical Research Proposals | 2011 | Medical Publishing House

  3. Public Health Research Methods | 2013 | Medical Publishing House

  4. Reference for research proposal development

    • Questions to be addressed in each section of the research proposal: reference here

    • Guidelines related to research proposal presentation: reference here

    • Template for implementation timeline here

  5. Register to download electronic reference materials here

  6. Register to purchase books here

> Contact Information:

Department: Room 414, 4th Floor, Building A7, Hanoi Medical University, No. 1 Ton That Tung, Dong Da, Hanoi

Postgraduate Academic Affairs: Le Xuan Hung | lexuanhung@hmu.edu.vn | 0911196443

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