TRUST Fellowship Program
TRUST fellowship program is designed to provide researchers in biology with the tools necessary to: comprehensively review the literature, organize and design their research projects and to join a research team.
What will I learn?
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Participate in each step of how to build a strong and sound research project, starting from picking up your research idea and formulating the research question, protocol design and ending by the manuscript being published.
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Design and conduct a valid statistical analysis plan
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Understand the different study designs and which is most appropriate to answer your research question
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Critically appraise different study designs
Program: The fellowship program runs over 4 semesters.
Target audience: Application is open to undergraduates and postgraduates in biological and biology-oriented disciplines; such as medicine, pharmacy, dentistry, physiotherapy, veterinary medicine, psychology and biotechnology. Applicants are expected to have critical thinking, paying full attention to details, with good ability for planning and scheduling and perfect communications skills.
On each workshop, the instructor will send an assignment. Assignments should be answered in a maximum of 10 days period. Registrants should expect to receive coordinators’ notes and comments within (n= number of workshop attendees) working days.
A google classroom will be created to send the materials, assignments and final exam. All assignments will have to answered and handed in the classroom to organize sending the notes and comments for each registrant.
Privacy note: All application content will remain strictly confidential and will be used for internal review and communication purposes only. We will never share your information with a third party.
Certification: Participants will receive certificates if they answered the assignments and scored >60% on final test carried out by the end of each semester.
Prerequisites:
Semester 1: None
Semesters 2-4: being certified for the previous level or getting > 80% in one of its randomly chosen passing tests.
Semester 1 (5 sessions):
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Research design (2 sessions)
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Searching
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Sample size calculation
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Protocol
Semester 2 (7 sessions):
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Essentials, Chi-square, unpaired t-test
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ANOVA, correlation & regression
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Observational outcomes and diagnostic accuracy (2 sessions)
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Statistical analysis practice
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Observational studies design (2 sessions)
Semester 3 (6 sessions):
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Paired design
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Non parametric
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Time to event analysis
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Multivariate analysis
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Meta-analysis
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Statistical analysis practice
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Clinical trials design (2 sessions)