linkstream2 microblog

http://thestatsgeek.com/2015/01/03/interpreting-odds-and-odds-ratios/

Big names in #statistics want to shake up…#Pvalue
http://www.Nature.com/news/big-names-in-statistics-want-to-shake-up-much-maligned-p-value-1.22375 Stronger significance cutoffs (.005?) but danger of FNs

QT:{{”
“Lowering P-value thresholds may also exacerbate the “file-drawer problem”, in which studies with negative results are left unpublished, says Tom Johnstone, a cognitive neuroscientist at the University of Reading, UK. But Benjamin says all research should be published, regardless of P value.

…
Other scientific fields have already cracked down on P values — and in 2015, one psychology journal banned them. Particle physicists, who collect reams of data from atom-smashing experiments, have long demanded a P value below 0.0000003 (or 3 × 10−7) because of concerns that a lower threshold could lead to mistaken claims, notes Valen Johnson, a statistician at Texas A&M University in College Station and a co-lead author of the paper. More than a decade ago, geneticists took similar steps to establish a threshold of 5 × 10−8 for
genome-wide association studies, which look for differences between people with a disease and those without across hundreds of thousands of DNA-letter variants.”
“}}

A Valid Alternative to #Correlation for Rel. Data
http://journals.PLoS.org/ploscompbiol/article?id=10.1371/journal.pcbi.1004075 Illustrates how r fails on simple expression expts HT @mason_lab

https://twitter.com/mason_lab/status/870643989246074881

Nullius in verba: A crash course in understanding numbers | The Economist

http://www.economist.com/news/books-and-arts/21716018-35-years-marijuana-laws-stopped-being-enforced-california-number

about:

A Field Guide to Lies and Statistics. By Daniel Levitin. Dutton; 292 pages; $28. Viking; £14.99.
https://www.amazon.com/Field-Guide-Lies-Statistics-Neuroscientist/dp/0241239990/ref=tmm_hrd_swatch_0?_encoding=UTF8&qid=1487476465&sr=8-1

Similar to:

https://www.amazon.com/A-Field-Guide-to-Lies/dp/1101985585/ref=sr_1_1?ie=UTF8&qid=1487476465&sr=8-1&keywords=A+Field+Guide+to+Lies

https://www.amazon.com/Field-Guide-Lies-Critical-Information/dp/0525955224/ref=pd_cp_14_1?_encoding=UTF8&psc=1&refRID=7VAA1W3D5M75M7VT2XYJ

How stats lost their power via @alexvespi
https://www.theguardian.com/politics/2017/jan/19/crisis-of-statistics-big-data-democracy Death of #DataScience in a “post-truth” world; anecdotes v elitist numbers

Guess the correlation http://guessthecorrelation.com/ Perhaps a useful sanity check for data from published papers. It’s so easy to fool oneself.

How does multiple-testing correction work
http://www.nature.com/nbt/journal/v27/n12/abs/nbt1209-1135.html Intuition for teaching: genome-wide error rate on a single gene v family

.@fionabrinkman @BioMickWatson @iddux Spurious Correlations
(http://tylervigen.com/spurious-correlations) related to Stat Frankenstein (https://twitter.com/markgerstein/status/689478730343837696)

SuperBowl Stock Analyst has a streak http://www.wsj.com/articles/at-nearly-90-super-bowl-stock-analyst-has-a-streak-going-1452482753 #Statistical Frankenstein concept from Wall Street perhaps useful for genomics

10 types of #regressions. Which one to use?
http://www.datasciencecentral.com/forum/topics/10-types-of-regressions-which-one-to-use Pitfalls of common approaches, eg linear or logistic via @KirkDBorne