User:Jarle Pahr/Statistics: Difference between revisions
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Notes on statistics and uncertainty analysis: | Notes on statistics and uncertainty analysis: | ||
See also: http://openwetware.org/wiki/Statistics | |||
https://en.wikipedia.org/wiki/Simpson%27s_paradox | https://en.wikipedia.org/wiki/Simpson%27s_paradox | ||
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http://www.quora.com/Probability/What-are-some-common-mistakes-beginners-make-in-learning-Probability | http://www.quora.com/Probability/What-are-some-common-mistakes-beginners-make-in-learning-Probability | ||
http://www.biodatamining.org/content/6/1/10 | |||
http://bitesizebio.com/articles/statistics-a-good-p-value-is-not-enough/ | http://bitesizebio.com/articles/statistics-a-good-p-value-is-not-enough/ | ||
Why most research findings are false: | |||
http://www.plosmedicine.org/article/info:doi/10.1371/journal.pmed.0020124 | |||
=Bad statistics= | |||
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Researcher degrees of freedom: http://simplystatistics.org/2013/07/31/the-researcher-degrees-of-freedom-recipe-tradeoff-in-data-analysis/ | |||
Extreme value fallacy: http://www.numberwatch.co.uk/extreme_value_fallacy.htm | Extreme value fallacy: http://www.numberwatch.co.uk/extreme_value_fallacy.htm | ||
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Software: | Validation: | ||
http://robjhyndman.com/hyndsight/crossvalidation/ | |||
=Statistical tests= | |||
=Distributions | |||
=Software= | |||
R: | |||
=Concepts= | |||
LOOCV: Leave One Out Cross-Validation | |||
=Blogs= | |||
http://simplystatistics.org/ | |||
http://robjhyndman.com/hyndsight | |||
http://allendowney.blogspot.no/ | |||
=Resources= | |||
CrossValidated: http://stats.stackexchange.com/ | |||
=Bibliography= | |||
Error bars in experimental biology: http://www.mendeley.com/catalog/error-bars-experimental-biology-1/ |
Latest revision as of 11:11, 16 August 2013
Notes on statistics and uncertainty analysis:
See also: http://openwetware.org/wiki/Statistics
https://en.wikipedia.org/wiki/Simpson%27s_paradox
https://en.wikipedia.org/wiki/Lurking_variable
How to draw the line in biomedical research: http://elife.elifesciences.org/content/2/e00638
http://jcb.rupress.org/content/177/1/7.full
http://www.dna-view.com/pvalue.htm
http://www.biodatamining.org/content/6/1/10
http://bitesizebio.com/articles/statistics-a-good-p-value-is-not-enough/
Why most research findings are false: http://www.plosmedicine.org/article/info:doi/10.1371/journal.pmed.0020124
Bad statistics
http://mchankins.wordpress.com/2013/04/21/still-not-significant-2/
Researcher degrees of freedom: http://simplystatistics.org/2013/07/31/the-researcher-degrees-of-freedom-recipe-tradeoff-in-data-analysis/
Extreme value fallacy: http://www.numberwatch.co.uk/extreme_value_fallacy.htm
Validation:
http://robjhyndman.com/hyndsight/crossvalidation/
Statistical tests
=Distributions
Software
R:
Concepts
LOOCV: Leave One Out Cross-Validation
Blogs
http://robjhyndman.com/hyndsight
http://allendowney.blogspot.no/
Resources
CrossValidated: http://stats.stackexchange.com/
Bibliography
Error bars in experimental biology: http://www.mendeley.com/catalog/error-bars-experimental-biology-1/