User:Jarle Pahr/Statistics

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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.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/

Why most research findings are false: http://www.plosmedicine.org/article/info:doi/10.1371/journal.pmed.0020124

Contents

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

http://dynamicecology.wordpress.com/2012/02/16/must-read-paper-how-to-make-any-statistical-test-come-out-significant/


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/

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