Description Usage Arguments Details Value References See Also Examples
This function calculates odds ratios for 2x2 and 2x2x2 contingency tables.
1 | getOddsRatio(x, za=TRUE)
|
x |
a contingency table (array or matrix) |
za |
zero adjustment, i.e. how to behave in case of zeros (logical). If |
If x
is a 2x2 table then the odds ratio is returned, defined as
OR=(x_00 x_11 )/( x_10 x_01 )
If x
is a 2x2 table then Bartlett's ratio of odds ratios is calculated, defined as
OR=(x_000 x_111 x_011 x_101 )/( x_101 x_001 x_100 x_111 )
To be able to calculate odds ratios even for huge numbers, the log of each cell count is taken.
Calculation of an odds ratio becomes difficult in presence of zeros. Depending on the position(s) of zero(s) in the table, the ratio becomes zero, NaN
or Inf
. This corresponds to the behaviour of the fisher.test
in such a case. However, another strategy is (Haldane) to add a small number (0.5) to each cell when the table contains at least one zero.
Note that this routine calculates the sample odds ratio (also: unconditional Maximum Likelihood estimate). This is different to other routines like fisher.test
, which calculate the conditional Maximum Likelihood Estimate (MLE).
the odds ratio (numeric) if x
is a 2x2 or 2x2x2 table, NA
otherwise
MARTIN A. HAMILTON (1979) CHOOSING THE PARAMETER FOR A 2 x 2 TABLE OR A 2 x 2 x 2 TABLE ANALYSIS. Am. J. Epidemiol. (1979) 109 (3): 362-375
fisher.test
, vcd
package for visualisation of contingency tables
1 2 3 4 5 | CT <- matrix(c(1:4), nrow=2)
getOddsRatio(CT)
CT <- array(c(1:8), dim=c(2,2,2))
getOddsRatio(CT)
|
hypergea 1.3.6 loaded
[1] 0.6666667
[1] 0.7
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