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= Power analysis/Sample Size determination =

= Power analysis/Sample Size determination =

+* https://en.m.wikipedia.org/wiki/Power_(statistics)

* [https://en.wikipedia.org/wiki/Sample_size_determination Sample size determination] from Wikipedia

* [https://en.wikipedia.org/wiki/Sample_size_determination Sample size determination] from Wikipedia

* Power and Sample Size Determination http://www.stat.wisc.edu/~st571-1/10-power-2.pdf#page=12

* Power and Sample Size Determination http://www.stat.wisc.edu/~st571-1/10-power-2.pdf#page=12

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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]

+
+== Binomial distribution ==

+* [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 <math>\pi _{0}\neq 0.5</math>.

+* [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]

+* [https://www.statology.org/binomial-test-r/ How to Perform a Binomial Test in R]

+* [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

−= Using simulation for power analysis: an example based on a stepped wedge study design ~~=~~

+= Using simulation for power analysis =

−https://www.rdatagen.net/post/~~using~~-~~simulation~~-for-power-analysis-~~an~~-~~example~~/

+* [https://www.rdatagen.net/post/using-simulation-for-power-analysis-an-example/ An example based on a stepped wedge study design]

+* [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]

+
+= Unbalanced randomization =

+[https://www.rdatagen.net/post/can-unbalanced-randomization-improve-power/ Can unbalanced randomization improve power?]

+
+[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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