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January
21 introduction 23 summarizing and presenting data 26 experimental design 28 statistics and probability 30 random variables and distributions.
February
2 + 4 random variables and distributions 6 multiple random variables 9 + 11 sampling distributions 13 + 16 confidence intervals 18 + 20 hypothesis testing 23 + 25 sample size and power calculations 27 permutation and non-parametric tests.
March
2 confidence intervals for proportions 4 maximum likelihood estimation 6 + 9 goodness of fit 11 contingency tables 13 contingency tables 16 confidence intervals for proportions + goodness of fit (labs, see panopto recordings).
March
23 + 25 analysis of variance 27 analysis of variance / multiple comparisons 30 analysis of variance / model assumptions and diagnostics.
April
1 analysis of variance / non-parametric methods 3 analysis of variance / nested models 6 analysis of variance / two-way models 8 correlation 10 + 13 linear regression 15 prediction and calibration 17 regression and correlation 20 + 22 + 24 multiple linear regression 27 non-linear regression 29 logistic regression.
May
1 + 4 survival analysis 6 linear mixed effects / longitudinal data analysis 8 linear mixed effects / analysis of variance 11 multiple comparisons 13 + 15 miscellaneous topics (error propagation, principal components, etc).