# Changes

,  2 May
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* [http://r-video-tutorial.blogspot.com/2017/07/power-analysis-and-sample-size.html Power analysis and sample size calculation for Agriculture] ('''pwr, lmSupport, simr''' packages are used)

* [http://r-video-tutorial.blogspot.com/2017/07/power-analysis-and-sample-size.html Power analysis and sample size calculation for Agriculture] ('''pwr, lmSupport, simr''' packages are used)

* [http://daniellakens.blogspot.com/2016/11/why-within-subject-designs-require-less.html Why Within-Subject Designs Require Fewer Participants than Between-Subject Designs]

* [http://daniellakens.blogspot.com/2016/11/why-within-subject-designs-require-less.html Why Within-Subject Designs Require Fewer Participants than Between-Subject Designs]
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== Binomial distribution ==
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* [https://en.wikipedia.org/wiki/Binomial_test Binomial test]. Calculating a '''p-value''' for a two-tailed test is slightly more complicated, since a binomial distribution isn't symmetric if $\pi _{0}\neq 0.5$.
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* [https://predictivehacks.com/how-to-get-the-power-of-test-in-hypothesis-testing-with-binomial-distribution/ How To Get The Power Of Test In Hypothesis Testing With Binomial Distribution]
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* [https://www.statology.org/binomial-test-r/ How to Perform a Binomial Test in R]
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* [https://www.rdocumentation.org/packages/stats/versions/3.6.2/topics/binom.test ?binom.test]

= Power analysis for default Bayesian t-tests =

= Power analysis for default Bayesian t-tests =

http://daniellakens.blogspot.com/2016/01/power-analysis-for-default-bayesian-t.html

http://daniellakens.blogspot.com/2016/01/power-analysis-for-default-bayesian-t.html
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= Using simulation for power analysis: an example based on a stepped wedge study design =
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= Using simulation for power analysis =
https://www.rdatagen.net/post/using-simulation-for-power-analysis-an-example/
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* [https://www.rdatagen.net/post/using-simulation-for-power-analysis-an-example/ An example based on a stepped wedge study design]
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* [https://www.rdatagen.net/post/2021-03-16-framework-for-power-analysis-using-simulation/ Framework for power analysis using simulation]

= Power analysis and sample size calculation for Agriculture =

= Power analysis and sample size calculation for Agriculture =
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= Multiple Testing Case =

= Multiple Testing Case =

[https://www.tandfonline.com/doi/abs/10.1198/016214504000001646 Optimal Sample Size for Multiple Testing The Case of Gene Expression Microarrays]

[https://www.tandfonline.com/doi/abs/10.1198/016214504000001646 Optimal Sample Size for Multiple Testing The Case of Gene Expression Microarrays]
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= Unbalanced randomization =
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[https://www.rdatagen.net/post/can-unbalanced-randomization-improve-power/ Can unbalanced randomization improve power?]
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[https://www.rdatagen.net/post/unbalanced-randomization-can-improve-power-in-some-situations/ Yes, unbalanced randomization can improve power, in some situations]
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