View Project
Project Information
Project Title
Evidence synthesis using meta-analysis/network meta-analysis approach to determine clinical effects of health interventions
Activity Type
Internship
Program Model
Plan A: GLIP
Eligibility: Exclusively for undergraduate students.
Duration: 1 semester or 3–4 months (depending on the international student's academic calendar) between November 2025 – August 2026.
University Financial Support:
- Tuition fees and other university fees
- On-campus accommodation fees (excluding electricity charges)
- Daily allowance for international students (240 Baht/day)
Eligibility: Exclusively for undergraduate students.
Duration: 1 semester or 3–4 months (depending on the international student's academic calendar) between November 2025 – August 2026.
University Financial Support:
- Tuition fees and other university fees
- On-campus accommodation fees (excluding electricity charges)
- Daily allowance for international students (240 Baht/day)
Duration
January 2026 - December 2026 (11 months)
Student Qualification
Qualifications:
- Currently enrolled in a bachelor's degree program in epidemiology, biostatistics, pharmacy, medicine, or a related health field.
- Strong interest in systematic reviews, meta-analysis, or health technology assessment (HTA)
- Basic understanding of research methodology and clinical study designs
- Familiarity with or willingness to learn tools such as RevMan, Stata or other relevant software
- Good reading and writing skills in English, with the ability to interpret scientific literature
- Self-motivated, responsible, and able to work both independently and as part of a collaborative team
Desirable (but not required):
- Prior experience conducting systematic reviews or meta-analysis
- Exposure to GRADE, PRISMA guidelines, or Cochrane methodology
- Knowledge of statistical modeling or programming
This opportunity will provide hands-on experience in conducting evidence synthesis, contribute to high-impact publications, and support academic and professional development in health research.
- Currently enrolled in a bachelor's degree program in epidemiology, biostatistics, pharmacy, medicine, or a related health field.
- Strong interest in systematic reviews, meta-analysis, or health technology assessment (HTA)
- Basic understanding of research methodology and clinical study designs
- Familiarity with or willingness to learn tools such as RevMan, Stata or other relevant software
- Good reading and writing skills in English, with the ability to interpret scientific literature
- Self-motivated, responsible, and able to work both independently and as part of a collaborative team
Desirable (but not required):
- Prior experience conducting systematic reviews or meta-analysis
- Exposure to GRADE, PRISMA guidelines, or Cochrane methodology
- Knowledge of statistical modeling or programming
This opportunity will provide hands-on experience in conducting evidence synthesis, contribute to high-impact publications, and support academic and professional development in health research.
Project Status
Approved
Activity Details
Overview
The intern will support evidence synthesis projects of health interventions using meta-analysis. Responsibilities include literature review, data extraction, quality assessment, analysis, and contribution to manuscripts writing.
Weekly Plan
| Week | Activity |
|---|---|
| 1 | Orientation: overview of project objectives, introduction to evidence synthesis, key terms, and team roles. Training: systematic review methodology (PICO, protocol design, inclusion/exclusion criteria). Assign reading (e.g., PRISMA, Cochrane Handbook). |
| 2 | Hands-on: develop protocol outline and search strategy with supervision. Identify relevant databases. Conduct pilot literature search. Refine keywords and database filters. |
| 3 | Perform comprehensive search in all databases. Screen titles and abstracts (pilot phase) using Rayyan; assess inter-rater agreement. Adjust screening criteria as needed. |
| 4 | Continue full title/abstract screening. Begin full-text retrieval and management. |
| 5 | Complete title/abstract screening. Continue full-text review. |
| 6 | Complete full-text review. Perform other searching techniques. |
| 7 | Continue study selection of the records identified from other searching techniques. |
| 8 | Complete study selection. Data extraction training. Create a data extraction form in Excel. |
| 9 | Begin data extraction using a PICO framework. |
| 10 | Continue data extraction. Risk of bias assessment training using Cochrane RoB2. |
| 11 | Complete data extraction. Continue risk of bias assessment. |
| 12 | Complete risk of bias assessment. Training: Introduction to meta-analysis/statistical software (RevMan and Stata). Conduct initial analysis with guidance. |
| 13 | Continue meta-analysis including sensitivity and subgroup analyses. |
| 14 | Contribute to results interpretation and summary of findings. Begin drafting a report or manuscript section (e.g., methods or results). |
| 15 | Finalize visual outputs (e.g., forest plots, network diagrams). Internal team review of manuscript/report draft. |
| 16 | Presentation of findings to the team. Submit final outputs (e.g., cleaned data files, figures, summary report). |
Project Coordinator
Full Name (EN)
Teerapon Dhippayom
Faculty / Institute
Faculty of Pharmaceutical Sciences
Email
teerapond@nu.ac.th