is about
has_specified_input
has_specified_output
achieves_planned_objective
data set
p-value
test of association between categorical variables
false positive rate
hypergeometric distribution
multinomial distribution
association between categorical variables testing objective
2 by 2 contingency table
study group population
categorical variable
binomial distribution
Barnard's test
2
2
1
Alejandra Gonzalez-Beltran
Orlaith Burke
Barnard's test
Barnard's test is an exact statistical test used to determine if there are nonrandom associations between two categorical variables. It was developed in 1949 by Barnard and is a test which is, most times, more powerfull that the Fisher exact test
Philippe Rocca-Serra
barnardw.test(n1, n2, n3, n4, dp = 0.001, verbose = FALSE)
from
http://www.inside-r.org/packages/cran/Barnard/docs/barnardw.test
duplicate with OBI_0200176. so either MIREOT and add metadata and axioms or move from OBI
http://en.wikipedia.org/wiki/Barnard's_test
and
G A Barnard (1945) "A New Test for 2X2 Tables", Nature, 156, 177 & 783.
ready for release