Diploma in Systematic Literature Review and Meta-Analysis with RevMan
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A brief overview of systematic literature reviews, exploring key steps such as question formulation, data extraction, and quality assessment using RevMan.
Health Data Analytics Diploma: Mastering SAS and REDCap
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This diploma program provides comprehensive training in health data analytics, focusing on the use of SAS for statistical analysis and REDCap for data collection and management. Designed for health professionals and researchers, the course covers data cleaning, analysis, and visualization in SAS, as well as secure, compliant data capture in REDCap. Participants will learn to design REDCap projects, manage databases, and conduct robust health research analytics. With hands-on projects and real-world case studies, graduates will gain practical skills to support evidence-based decision-making in healthcare environments. No prior programming experience required.
Learn how to read and analyze real clinical trial datasets. Understand what makes a trial valid, how to interpret treatment effects, and how to spot common errors in published studies.
Informed Consent Essentials for Human Research Participants
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This concise course offers a practical introduction to obtaining informed consent in research with human participants. It consists of three focused sections designed to equip learners with essential knowledge and skills. Participants will first explore the ethical principles underlying informed consent, ensuring a solid understanding of its importance and application. The course then guides learners through the design of clear and comprehensive consent forms, emphasizing legal and ethical compliance. Finally, learners will develop effective communication strategies to confidently engage with participants. By the course’s end, participants will have drafted a compliant consent form suitable for inclusion in a research proposal.
Master Microsoft PowerPoint 2021 in this structured 3+ hour video tutorial. From foundational slide creation to advanced data visualization and academic formatting, this course is ideal for researchers, lecturers, students, and professionals presenting in educational or research settings.
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