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Module 1: Foundations of Research and Thesis Development
Upon completion of this module, residents will be able to:
• Understand the thesis requirements and academic standards in basic and paraclinical sciences.
• Identify feasible research topics aligned with departmental resources and expertise.
• Formulate clear, testable research questions using established frameworks.
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Module 2: Advanced Literature Review and Research Proposal Writing
This module builds the conceptual, regulatory, and methodological foundation required to design a sound postgraduate thesis- from understanding institutional requirements to translating ideas into structured research questions, hypotheses, and objectives.
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Module 3: Study Design, Methodology, and Data Management
This module builds the conceptual, regulatory, and methodological foundation required to design a sound postgraduate thesis- from understanding institutional requirements to translating ideas into structured research questions, hypotheses, and objectives.
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Module 4: Comprehensive Biostatistics for Thesis Research
To equip learners with the statistical thinking, analytical skills, and practical tools required to analyze thesis data correctly, interpret results responsibly, and present findings in a defensible, publication-ready format.
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Research Methodology and Biostatistics for Postgraduate Residents in Basic Sciences and Paraclinical Sciences
Learning Objectives:
By the end of this lesson, students will be able to:
- Select appropriate data management software for a given research context (MS Excel, SPSS, PAST, Epi Info, GraphPad Prism)
- Apply single or double data entry procedures to minimise data entry errors
- Code categorical variables and manage missing data appropriately
- Create and organise a master data chart suitable for inclusion in the thesis appendix
Content:
- Overview of data management software: MS Excel, SPSS, PAST, Epi Info, GraphPad Prism
- Single vs. double data entry
- Coding variables and handling missing values
- Creating master charts for thesis appendix
- Real-time data entry considerations
- Common data entry errors and how to avoid them