
Course: Advanced Statistics
Target Audience: Master of Epidemiology students
Format: In-person
> Course Procedure
(1.1) Log in to the e-learning system here >> (1.2) Register for the course here (click Register to enroll; view the successful registration list here) >> (2) Complete course requirements on the e-learning system here >> (3) Submit requirements after each session on the e-learning system here >> (4) Track progress on the e-learning system here >> (5) Submit final course assignment here
> User guide for the e-learning system (attendance, submission of products, completion of lesson requirements): here
- Attend all practical sessions
- Theoretical session attendance > 80%
- Module score (evaluations, feedback, lectures, surveys) > 80%
- Timely submission of course requirements > 80%
- Completion of elective assignment: complete the methodology section of the doctoral research proposal
> Course Grade = 80% final course 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 so that lecturers can 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; view the successful registration list here) Contact the Department if information needs adjustment; do not register multiple times.
Register only once using an email 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. 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 specified timeline 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
- Document: Public Health Research Methods | 2013 | Medical Publishing House
- Guideline for developing medical research proposals | 2011 | Medical Publishing House
- Public Health Research Methods | 2013 | Medical Publishing House
- 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 timeline here
- Register to download some electronic reference materials here
- 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