I'm looking at ways of creating contingency tables in SQL Server 2008. They don't necessarily have to appear in the 2x2 typical matrix. I'd just like to know if anyone out there can see a better solution than mine.
Please refer to the picture for clarity. The red letters are names of the squares for simplicity's sake. The label X+ means X is present in that cell and the opposite is true as well.
I will label my queries with the letter of box in the table that they represent
A
select count(*) from
(
select distinct p.patientid
from Patient as p
inner join icdpatient as picd on picd.patientid = p.patientid
and picd.admissiondate = p.admissiondate
and picd.dischargedate = p.dischargedate
inner join tblicd as t on t.icd_id = picd.icd_id
where t.icdText like '%x%'
) as t
inner join
(
select distinct p.patientid
from Patient as p
inner join icdpatient as picd on picd.patientid = p.patientid
and picd.admissiondate = p.admissiondate
and picd.dischargedate = p.dischargedate
inner join tblicd as t on t.icd_id = picd.icd_id
where t.icdText like '%y%'
) as s on s.patientid=t.patientid
B
select count(*) from
(
select distinct p.patientid
from Patient as p
inner join icdpatient as picd on picd.patientid = p.patientid
and picd.admissiondate = p.admissiondate
and picd.dischargedate = p.dischargedate
inner join tblicd as t on t.icd_id = picd.icd_id
where t.icdText like '%x%'
) as t
left join
(
select distinct p.patientid
from Patient as p
inner join icdpatient as picd on picd.patientid = p.patientid
and picd.admissiondate = p.admissiondate
and picd.dischargedate = p.dischargedate
inner join tblicd as t on t.icd_id = picd.icd_id
where t.icdText like '%y%'
) as s on s.patientid=t.patientid
where s.patientid is null
C
select * from
(
select distinct p.patientid
from Patient as p
inner join icdpatient as picd on picd.patientid = p.patientid
and picd.admissiondate = p.admissiondate
and picd.dischargedate = p.dischargedate
inner join tblicd as t on t.icd_id = picd.icd_id
where t.icdText like '%x%'
) as t
right join
(
select distinct p.patientid
from Patient as p
inner join icdpatient as picd on picd.patientid = p.patientid
and picd.admissiondate = p.admissiondate
and picd.dischargedate = p.dischargedate
inner join tblicd as t on t.icd_id = picd.icd_id
where t.icdText like '%y%'
) as s on s.patientid=t.patientid
where t.patientid is null
D This one I'm a little iffy about but I think I'm going to do something like
declare @d int
set @d = (select count(distinct p.patientid) from Patient as p) - b -c
This aims to find the entire population and subtracting those ONLY with X and ONLY with y
Yes! There are easier ways. Assuming your join produces no duplicate patients:
select (case when t.icdText like '%x%' then 'X' else 'NO-X' end) as X,
(case when t.icdText like '%y%' then 'Y' else 'NO-Y' end) as Y,
count(*) as cnt
from Patient p inner join
icdpatient picd
on picd.patientid = p.patientid and
picd.admissiondate = p.admissiondate and
picd.dischargedate = p.dischargedate inner join
tblicd t
on t.icd_id = picd.icd_id
group by (case when t.icdText like '%x%' then 'X' else 'NO-X' end),
(case when t.icdText like '%y%' then 'Y' else 'NO-Y' end)
Otherwise replace the count(*) with:
count(distinct patientid)
This should give you the information you need for the contingency table.
Here's an alternate way:
select RRTGotAlert = case RRTGotAlert when 0 then 'N' when 1 then 'Y' end
,TZ_OnPilotUnit_N = sum(TZ_OnPilotUnit_N)
,TZ_OnPilotUnit_Y = sum(TZ_OnPilotUnit_Y)
from (select RRTGotAlert
,TZ_OnPilotUnit_N = [0]
,TZ_OnPilotUnit_Y = [1]
from #analysis
pivot (count(Encounter) for TZ_OnPilotUnit in ([0],[1])) pvt) got_alert
group by case RRTGotAlert when 0 then 'N' when 1 then 'Y' end
order by case RRTGotAlert when 0 then 'N' when 1 then 'Y' end
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