A quick background -- I need to find the termination rates of cases that go through our company lab grouped by case type and month. So far I came up with this:
SELECT BPI.TYPE,
EXTRACT(MONTH FROM CS.RECEIVED_DATE) MONTH,
COUNT(*) termed_cases
FROM CELL_SOURCE cs
JOIN BASIC_PATHOLOGY_INFO bpi ON CS.CELL_SOURCE_ID = BPI.CELL_SOURCE_ID
JOIN RECENT_CELL_SOURCE_STATUS rcss ON CS.CELL_SOURCE_ID = RCSS.CELL_SOURCE_ID
WHERE type IS NOT NULL
AND CS.RECEIVED_DATE > to_date('03/01/2011', 'MM/DD/YYYY/')
AND RCSS.STATUS like 'Term%'
GROUP BY BPI.TYPE, EXTRACT(MONTH FROM CS.RECEIVED_DATE)
ORDER BY month, type
This finds all cases that have been termed, easy enough. However, when I want to find the rate, I get a bit of a problem. I tried using a sub-query to catch the total amount of cases per type regardless of it's status, as such:
COUNT(*)/(SELECT COUNT(*)
FROM CELL_SOURCE cs_1
JOIN BASIC_PATHOLOGY_INFO bpi_1 ON CS_1.CELL_SOURCE_ID = BPI_1.CELL_SOURCE_ID
WHERE BPI_1.TYPE = BPI.TYPE
AND EXTRACT(month from CS_1.RECEIVED_DATE) = EXTRACT(MONTH FROM CS.RECEIVED_DATE)) termed_cases
However, this throws an ORA-00979: not a GROUP BY expression
error, and highlights BPI.TYPE
from the sub-query.
Anyone have any idea what my error could actually be? Also, would an analytical function work better here than an aggregate function?
So, you need two counts: a total for all cases in the month and a total for just the Termed cases. The easiest way of doing this is to use a CASE() function to execute a conditional count, like this:
SELECT BPI.TYPE,
EXTRACT(MONTH FROM CS.RECEIVED_DATE) MONTH,
COUNT(*) all_cases,
sum(case when RCSS.STATUS like 'Term%' then 1 else 0 end ) termed_cases
FROM CELL_SOURCE cs
JOIN BASIC_PATHOLOGY_INFO bpi ON CS.CELL_SOURCE_ID = BPI.CELL_SOURCE_ID
JOIN RECENT_CELL_SOURCE_STATUS rcss ON CS.CELL_SOURCE_ID = RCSS.CELL_SOURCE_ID
WHERE tumor_type IS NOT NULL
AND CS.RECEIVED_DATE > to_date('03/01/2011', 'MM/DD/YYYY/')
GROUP BY BPI.TUMOR_TYPE, EXTRACT(MONTH FROM CS.RECEIVED_DATE)
ORDER BY month, tumor_type
Note that I have removed the LIKE filter from the WHERE clause.