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)
<- alteplase
df 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=0.0039
```