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[Advanced Statistics] First-year PhD Students in Public Health

Published: 14:36 - 07/01/2022 Author: Phan Thanh Hải 22:41 01/04/2022 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: Advanced Statistics Target Audience: First-year PhD students - Public Health major Format: In-person at Building A7


Course: Advanced Statistics
Target Audience: First-year PhD students - Public Health major
Format: In-person
Class Schedule: here

> Course Procedure
(1.1) Log in to the e-learning system here >> (1.2) Register for the course here (click Register to enroll; the list of successful registrations is available here) >> (2) Complete course requirements on the e-learning system here >> (3) Submit requirements after each session on the e-learning system here here >> (4) Track progress on the e-learning system here here >> (5) Submit final course assignment here

> User Guide for the e-learning system (attendance, submission of products, completion of lesson requirements): here

> Group leaders declare information here


> Final examination format (computer-based test, essay, oral exam, etc.):



> Eligibility for final examination

  1. Attend all practical sessions
  2. Theoretical session attendance > 80%
  3. Module score (evaluation, feedback, lectures, surveys) > 80%
  4. Timely submission of course requirements > 80%
  5. Completion of elective assignment: complete the methodology section of the PhD research proposal


> Course Grade
= 80% final assignment score + 20% module score

Module Score (20%) = Completion of course requirements + Completion of all feedback forms after each lesson and at the end of the course

Course Requirements: Students are required to proactively complete requirements after each session so that lecturers can provide the best support during and after lectures. The Department does not grade these; completion and self-discipline are required.

Feedback Forms: Students are required to complete all feedback forms to allow lecturers to adjust and improve teaching quality.


(1.1) Log in to the e-learning system here
> Use the Gmail or Google email address declared above
> The Department will enroll students in the course based on the registration list
> Deadline: End of the 1st day of the course

(1.2)
Course Registration here (click Register to enroll; the list of successful registrations is available here) Contact the Department if information needs adjustment; do not register multiple times.
Register only once using an address ending in @gmail.com or within the Google system
> After registration, you will receive a confirmation email from the Department. If not received, it may be due to an incorrect email address. Please contact the Department to adjust (do not register again)
> Failure to register will result in not being assigned to a group
> Registration deadline: End of the 1st day of the course

(2) Complete course requirements on the e-learning system here
Individuals must complete requirements according to the schedule specified on the system after each lesson
> View course materials
> Complete requirements after each lesson
> Provide feedback after each lesson

(3) Submit requirements after each lesson on the e-learning system here here
Students must complete requirements corresponding to each session as follows:

Session

Requirement

Time

Lesson 1: Overview of research designs and statistical analysis (1)

Lesson 1: Overview of research designs and statistical analysis (2)
Lesson 2: Repeated measures analysis (1)
Lesson 2: Repeated measures analysis (2)
Lesson 3: Issues related to multivariate analysis models (1)
Lesson 3: Issues related to multivariate analysis models (2)
Lesson 4: Linear regression (1)
Lesson 4: Linear regression (2)
Lesson 5: Logistic regression (1)
Lesson 5: Logistic regression (2)
Lesson 6: Survival analysis (1)
Lesson 6: Survival analysis (2)


(4) Track progress on the e-learning system here


(5) Submit final course assignment


> References

  1. Document: Public Health Research Methods | 2013 | Medical Publishing House
  2. Guideline 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 answered in each section of the research proposal: reference here
    • Guidelines related to research proposal presentation: reference here
    • Template for implementation schedule here
  5. Register to download some 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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