ADA Global Academy
Medical Research Projects
Explore our curated course offerings in medical and health research, with links to related publications and abstracts.
A foundational course covering study design, ethical considerations, data collection protocols, and the fundamentals of conducting rigorous clinical research.
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Hands-on training in statistical analysis using SPSS, R, or Stata, with a focus on applying statistical methods to real-world health data and interpreting results.
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Step-by-step guidance on formulating a research question, designing a novel study, writing for peer-reviewed journals, and navigating the publication process.
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Comprehensive training on PRISMA guidelines, literature search strategies, data extraction, risk-of-bias assessment, and conducting pooled statistical analyses.
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In-depth coverage of RCT design principles, randomization and blinding techniques, sample size calculation, CONSORT reporting, and regulatory considerations.
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Practical skills for crafting competitive grant proposals, identifying funding sources, building a strong specific aims page, and responding to reviewer feedback.
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Introduces compartmental models (SIR, SEIR), parameter estimation, and simulation techniques for understanding and predicting the spread of infectious diseases.
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Covers questionnaire construction, reliability and validity testing, probability and non-probability sampling, and analysis of survey data in health settings.
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Training in data visualization best practices, scientific poster design, oral presentation techniques, and communicating research findings to diverse audiences.
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Applied ML techniques for healthcare datasets including supervised and unsupervised learning, model evaluation, and translating predictive models into clinical insights.
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An introductory course on health informatics, electronic health records, big data in healthcare, and programming for health data analysis using Python or R.
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