There\'s a large database from which I have extracted a study population. For comparison purposes, I would like to select a control group that has similar characteristics.
select
T1.sex,
T1.decades,
T1.counts,
T2.patid
from (
select
sex,
age/10 as decades,
COUNT(*) as counts
from (
select m.patid,
m.sex,
DATEPART(year,min(c.admitdate)) -m.yrdob as Age
from members as m
inner join claims as c on c.patid=m.PATID
group by m.PATID, m.sex,m.yrdob
)x
group by sex, Age/10
) as T1
join (
--right here is where the random sampling occurs
SELECT TOP 50--this is the total number of peolpe in our dataset
patid
,sex
,decades
from (
select m.patid,
m.sex,
(DATEPART(year,min(c.admitdate)) -m.yrdob)/10 as decades
from members as m
inner join claims as c on c.patid=m.PATID
group by m.PATID, m.sex, m.yrdob
) T2
order by NEWID()
) as T2
on T2.sex = T1.sex
and T2.decades = T1.decades
EDIT: I had posted another question similar to this in which I found that my results weren't in fact random, but they were only the TOP N results. I had ordered by newid()
in the outermost query and all that was doing was shuffling around the exact same result set. From a question that is now closed, I found out that I needed to use the TOP
keyword along with order by newid()
in the commented line in the above query.