Hello,

I’m trying to do a calculation that is maybe the limit of what indicator analytics are meant to do (v. 2.40.3).

The goal is to have an indicator that represents how many health facilities have cases over a facility-specific threshold per health district for a specific three month period (current month +2). The threshold is based on the long term average of the case number for that same three month season over the prior three years, which is stored as a separate dataElement. I know technically subExpressions only take one dataElement, but it seems to be somewhat working with two and returning a Valid expression.

The way I think I should write out this formula would be:

```
subExpression(if((#{DE1} + #{DE1}.periodOffset(1) + #{DE1}.periodOffset(2)) > (#{DE2}.periodOffset(-12) +#{DE2}.periodOffset(-11) + #{DE2}.periodOffset(-10) + #{DE2}.periodOffset(-24) + #{DE2}.periodOffset(-23) + #{DE2}.periodOffset(-22) +#{DE2}.periodOffset(-36) + #{DE2}.periodOffset(-35) + #{DE2}.periodOffset(-34))/3,1,0)).aggregationType(SUM)
```

In English, for each facility, if the number of cases predicted over the next three months is greater than the average over the prior 3 years for the same period for the 2nd visit, return a 1. Then sum these to the district level, resulting in the number of facilities over this threshold.

The aggregation doesn’t seem to be working for this, as it’s still returning it at the district level as a 0, even when I can count that the values are different.

One solution I tried, if only to make this easier to manage and read was to create an indicator corresponding to each side of the equation in the `if`

statement, but it seems like indicators don’t work within `subExpressions`

. I would use a predictor, but I need to be able to specify these months in a very specific way that doesn’t seem possible with the sequential sampling functionality.

Any ideas/thoughts? Happy to share a seed of some fake data to play around with.