Introduction to Biostatistics
5 Hypotheses and patterns
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Data Manipulation and Visualization
1 Introduction
2 Data manipulation
3 Data visualisation
4 Wide vs. long format
5 Join functions
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7 + 8 Automatisation
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11 From a database to a plot
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Introduction to Biostatistics
1 Philosophical foundations
2 Data exploration
3 Probability and distribution
4 Graphs
5 Hypotheses and patterns
6 Contingency tables
7 Confidence intervals and t-tests
8 F-test and ANOVA
9 Linear regression
10 Transformations and non-parametric tests
11 Multi-way ANOVA, multiple regression and GLMs
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Introduction to Biostatistics
5 Hypotheses and patterns
Chapter 5: Hypothesis testing and pattern detection; goodness-of-fit
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Jakub Těšitel