Update commonstatsmethods.md

docs/part3/commonstatsmethods.md

@@ -344,7 +344,7 @@ The choice of test-statistic can be made via the option `--testStat` and differe
 !!! warning
     The recommended style is the **LHC-style**. Please note that this method is sensitive to the *observation in data* since the *post-fit* (after a fit to the data) values of the nuisance parameters (assuming different values of **r**) are used when generating the toys. For completely blind limits you can first generate a *pre-fit* asimov toy dataset (described in the [toy data generation](runningthetool.md#toy-data-generation) section) and use that in place of the data.  You can then use this toy by passing `-D toysFileName.root:toys/toy_asimov`
 
-While the above shortcuts are the common variants, you can also try others. The treatment of the nuisances can be changed to the so-called "Hybrid-Bayesian" method which effectively integrates over the nuisance parameters. This can be achieved (with any test-statistic which is not profiled over the nuisances) by setting `--generateNuisances=1 --generateExternalMeasurements=0 --fitNuisances=0`.
+While the above shortcuts are the common variants, you can also try others. The treatment of the nuisances can be changed to the so-called "Hybrid-Bayesian" method which effectively integrates over the nuisance parameters. This is especially relevant when you have very few expected events in your data and you are using those events to constrain background processes. This can be achieved by setting `--generateNuisances=1 --generateExternalMeasurements=0`. You might also want to avoid first fitting to the data to choose the nominal values in this case, which can be done by also setting `--fitNuisances=0`. 
 
 !!! info
     Note that (observed and toy) values of the test statistic stored in the instances of `RooStats::HypoTestResult` when the option `--saveHybridResult` has been specified, are defined without the factor 2 and therefore are twice as small as the values given by the formulas above. This factor is however included automatically by all plotting script supplied within the Combine package.