Tuesday, August 11, 2020; 9:45 AM - 10:00 AM
Section outline
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Course Announcements and Weekly Curriculum
Topic: Sample Size, P-Values and Confidence Intervals
An introduction to the concepts and information needed to estimate sample sizes for various types of studies. It includes suggestions for making more affordably sized studies.
Faculty: Steve R. Cummings
Location (Access restricted to registered students): Zoom URLFaculty Bio: Steve is a UCSF-trained general internist who led the UCSF Division of General Internal Medicine for a decade. He has spent almost 40 years designing, conducting, and teaching about clinical research. He founded and directs the S.F. Coordinating Center that has designed, led, and conducted many large multicenter clinical trials and cohort studies. He co-founded the Clinical Research Training program and co-authors Designing Clinical Research. He is an Professor of Medicine, Epidemiology and Biostatistics at UCSF and also Senior Scientist at the CPMC Research Institute. Steve’s own research has focused mainly on predicting and preventing fractures and understanding the biological basis of aging. He has published over 500 peer-reviewed papers and has received numerous awards for his research in osteoporosis and women’s health, and was elected to the Institute of Medicine (now the National Academy of Medicine) for his work in clinical research in general and women’s health in particular.
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Lecture 3, Part 1 (Steve Cummings) Media Resource
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Lecture 3, Part 2 (Steve Cummings) Media Resource
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Lecture 3, Part 3 (Steve Cummings) Media Resource
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How do we know what we know? (Tom Newman) Media Resource
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Bacchetti 2010: Current sample size conventions: Flaws, harms and alternatives File
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Statistical Interpretation of Data (Chapter from Goldman Textbook of Medicine, 24th ed, by Tom and Chuck). Note material in green is included only in the online text, hence it is not what is most important. File