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Data & Code
Biostats uOttawa
Intro Biostats & R (BioXx58)
Advanced Biostats (Bio8940)

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Bayesian approach
21 Beyond *P < 0.05*

Preface
Using R
Fundamentals of stats
- 8 Power Analysis
Linear models
Generalized linear models
- 15 Generalized linear model, glm
- 16 Frequency data and Poisson Regression
Mixed models
Generalized additive models
Multivariate analysis
Bayesian approach
- 21 Beyond *P
- 22 Introduction to Bayesian Inference
References
Appendices
- A Data used in this book
- B Installing Quarto and LateX

Bayesian approach
21 Beyond *P < 0.05*

21 Beyond P < 0.05

cite a bunch a must read paper on the subject and maybe summarize the big point of Do and Don’t

Figure 21.1: Reflection on the meaning of probabilities in biology

20 Multivariate mixed models

22 Introduction to Bayesian Inference

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