Posts Tagged ‘stats’

Interpreting odds and odds ratios – The Stats Geek

Monday, November 19th, 2018

Big names in statistics want to shake up much-maligned P value

Tuesday, August 8th, 2017

Big names in #statistics want to shake up…#Pvalue Stronger significance cutoffs (.005?) but danger of FNs

“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P-value thresholds may also exacerbate the “file-drawer problem”, in which studies with negative results are left unpublished, says Tom Johnstone, a cognitive neuroscientist at the University of Reading, UK.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.”

Proportionality: A Valid Alternative to Correlation for Relative Data

Tuesday, June 13th, 2017

A Valid Alternative to #Correlation for Rel. Data Illustrates how r fails on simple expression expts HT @mason_lab

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

Sunday, February 19th, 2017

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


A Field Guide to Lies and Statistics. By Daniel Levitin. Dutton; 292 pages; $28. Viking; £14.99.

Similar to:

How statistics lost their power – and why we should fear what comes next | William Davies | Politics | Th e Guardian

Tuesday, January 31st, 2017

How stats lost their power via @alexvespi Death of #DataScience in a “post-truth” world; anecdotes v elitist numbers

for those cold, lonely winter evenings…

Sunday, July 24th, 2016

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

How does multiple testing correction work?

Monday, June 13th, 2016

How does multiple-testing correction work Intuition for teaching: genome-wide error rate on a single gene v family

Spurious Correlations

Monday, January 25th, 2016

.@fionabrinkman @BioMickWatson @iddux Spurious Correlations
( related to Stat Frankenstein (

At Nearly 90, ‘Super Bowl’ Stock Analyst has a streak going – WSJ

Monday, January 18th, 2016

SuperBowl Stock Analyst has a streak #Statistical Frankenstein concept from Wall Street perhaps useful for genomics

10 types of regressions. Which one to use?

Tuesday, December 8th, 2015

10 types of #regressions. Which one to use? Pitfalls of common approaches, eg linear or logistic via @KirkDBorne