Biostatistics for Medical Sciences provides essential statistical tools and methods for analyzing biomedical and healthcare data. This course focuses on understanding statistical concepts, applying them to medical research, and interpreting data critical for evidence-based medicine. Through practical examples and exercises, students will develop proficiency in biostatistical techniques necessary for interpreting research findings and making informed clinical decisions.
The modules listed below are those currently intended for delivery in the current academic intake of this course. These modules may be subject to change as the course is delivered and/or reviewed.
Topics: Definition of biostatistics, types of data, levels of measurement, graphical representation of data, probability distributions, sampling distributions.
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Topics: Point estimation, confidence intervals.Null and alternative hypotheses, p-values, types of errors.t-tests , Wilcoxon signed-rank test.
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Topics: Pearson correlation coefficient, linear regression, log-rank test, fixed vs. random effects models, clinical trial design.
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By the end of this course, students will be able to:
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Detailed study for foundational learning and development in medical science.
Virtual labs, simulations, and real-world case studies.
Live teaching from experienced professionals in the field.
Foundation for advanced studies and careers in medical science.
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