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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:
- Distinguish between internal and external validity and explain their implications for research conclusions
- Identify and describe sources of bias: confounding, selection bias, and information bias
- Define and differentiate test–retest, inter-rater, intra-rater, and internal consistency reliability
- Interpret sensitivity and specificity values in the evaluation of diagnostic tests
Content:
- Internal validity: Confounding, Selection bias, Information bias
- External validity and generalizability
- Reliability: Test–retest, Inter-rater, Intra-rater, Internal consistency
- Diagnostic test evaluation: Sensitivity, Specificity