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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:
- Construct well-structured data tables with appropriate footnotes and abbreviations
- Design clear, accurate, and ethically presented figures
- Select appropriate graph types (bar charts, histograms, box plots, scatter plots) based on data type
- Integrate tables and figures effectively into the thesis Results and Discussion chapters
- Identify and correct misleading graphs to meet examiner presentation standards
Content:
- Principles of table construction: Structure, Footnotes, Abbreviations
- Figure design: Clarity, Accuracy, Ethical data visualization
- Choosing graphs based on data type: Bar charts, Histograms, Box plots, Scatter plots
- Integrating tables and figures into: Results chapter, Discussion chapter
- Avoiding misleading graphs
- Examiner expectations for statistical presentation