Explore biostatistics through a comprehensive series of lectures covering essential topics such as reading scientific papers, advanced statistical techniques, designing metrics, and various types of ANOVA. Learn about experimental design, including FDA testing and sources of bias, and master the chi-squared test for independence and goodness of fit. Gain valuable insights into effective visual data display, from introductory concepts to advanced techniques for adding information and avoiding manipulative presentations. Enhance your understanding of statistical analysis and its applications in biological research.
Overview
Syllabus
Reading a scientific paper.
Advanced Statistics: a tour of some techniques.
Designing Metrics.
Two-factor ANOVA (two-way ANOVA): Examples.
Two-factor ANOVA (two-way ANOVA): Worked examples.
Two-factor ANOVA (two-way ANOVA): Introduction.
One-factor ANOVA (one-way ANOVA): Transformations.
Visual display (4): The bad, manipulative, and the good.
Visual display (3): general advice.
Visual display (2): adding information.
Visual display(1): introduction.
Experimental design: Two important studies.
Experimental design: FDA testing.
Experimental design: sources of bias.
Chi-squared test: tests of independence.
Chi-squared test: goodness of fit test.
Taught by
pleiotropy
