The hardware and bandwidth for this mirror is donated by dogado GmbH, the Webhosting and Full Service-Cloud Provider. Check out our Wordpress Tutorial.
If you wish to report a bug, or if you are interested in having us mirror your free-software or open-source project, please feel free to contact us at mirror[@]dogado.de.
genodds implements Agresti’s generalized odds ratios for a two-sample dataset. This measure calculates the odds that, if a pair of observation were to be randomly selected from two groups, the observation in one group would have a higher score than those in the other group. The package also provides hypothesis testing for if this odds ratio is different to 1 (no difference between groups), as well as power/sample size estimation capabilities trial planning using this test. This measure can also be reported as Number Needed to Treat, a common outcome measure used in health economics.
You can install the released version of genodds from CRAN with:
install.packages("genodds")genodds can be run as follows:
library(genodds)
df <- alteplase
genodds(df$mRS,df$treat,df$time)
#> Agresti's Generalised odds ratios
#>
#> 0-90 Odds: 0.772 (0.599, 0.996) p=0.0468
#> 91-180 Odds: 0.850 (0.709, 1.020) p=0.0805
#> 181-270 Odds: 0.862 (0.771, 0.963) p=0.0088
#> 271-360 Odds: 1.019 (0.891, 1.164) p=0.7868
#>
#> Test of H0: odds ratios are equal among strata:
#> X-squared = 5.63, df= 3 p=0.1311
#>
#> Test of H0: pooled odds = 1:
#> Pooled odds: 0.897 (0.833,0.966) p=0.0039These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.
Health stats visible at Monitor.