What if our research question was whether children diagnosed with the same brain tumors have significantly different clinical presentations based on their age at diagnosis, and we want to compare very young children to teens.
To do this, we would want to add a second filter for "Age at diagnosis" for 15-20 year olds. However, we can't click on that bar in the plots, and we also don't have the option to add a second version of that filter in the Filters, we can only change the age range of the one we have.
To build this more complex cohort, we need to make a combined query.
Step 1: Duplicate the Query¶
To make a copy of our query line we can either:
Push the copy button at the end of the query line we want to duplicate, indicated with the purple arrow below:
Or you can choose any number of queries to duplicate simultaneously. To do this, click the checkbox at the left side of each query you want to duplicate, and then click the "duplicate query" button:
Since we only have one query to duplicate, these function identically. However, if we had many queries and wanted to duplicate more than one of them, the second way is a bit easier. Regardless of which method you chose, you should now have two queries that are identical:
Step 2: Edit the age range in one query¶
In query 2, edit the "Age at Diagnosis" to be 15-20 years of age.
By clicking on each query, you should see that the title for the cohort results ("Query #") and the plots change to match the query you have highlighted (in green):
Results for 1st query ONLY:
Results for 2nd query ONLY:
Step 3: Combine the Queries¶
Our two queries are each giving us results we want, now we need to combine them into a single cohort. To do that, we use the checkboxes on the left side of each query to select the ones we want to combine, and then click the "or" above the left side of the queries:
Step 4: View Combined Query¶
We now have a new "Query #3" that includes individuals from either of our two original queries: