| title | author | date | output |
|---|---|---|---|
Lecture Notes in DoE: TODO |
Felipe Campelo |
“April 11 2016” |
html_document |
List of things to include (possibly) in future versions of these lecture notes
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Change examples (Ch. 4, 5) to use directional alternative hypotheses.
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Use CI on variance for post-hoc sample size estimations
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Code highlighting for the rcode environment: - package fvrb-ex - package listings
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Sample size formulas using noncentral t
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Chapter 9 - non Normal data - data transformations
- essential: Sample size and power calculations for log-transformed data - classical nonparametric methods - bootstrap -
Chapter 6: sample size estimation as a function of Cohen's d coefficient (for when variance is too hard to estimate)
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Chapters 10-12: improve sample size and effect size considerations
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Add chapter(s) on linear regression (simple/multiple)
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Add chapter on ANCOVA