Applied Biostats 2024

Home / TOC Course Policies Tentative Schedule On the horizon Major Evaluations

Preface 00: Example Mini-chapter 01: Intro to stats 02: Intro to R

03: Data in R 04: Data Summaries 05: Introduction to ggplot 06: Associations 07: Linear Models 08: Data collection and organization 09: Repoducible code 10: Better Figures 11: Better Figures in R 12: Peer review

13: Probability 14: Sampling 15: Uncertainty 16: Hypothesis Testing 17: Shuffling to generate a null 18: Shuffling associations 19: Probability and NHST review 20: Review

21: Normal Distribution 22: Sampling a normal distribution 23: Two samples from normal distributions 24: More than two samples from normal distributions 25: Linear model review 26: Predicting one continuous variable from another 27: Predicting one continuous variable from two nothers 28: Two-Way_ANOVA 29: Have a go!

30: Causal inference 31: Project III 32 Likelihood 33 Model evaluation 34 none 35 Analyzing proportions 36 Study Design 37 Bias & Bad Science 38 Generalized linear models 39 Random & mixed effects models

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Chapter 20: Break

Take a break - review and work on your project. Exam monday

References