我从一个很大的数据库中提取了一个研究人群。为了进行比较,我想选择一个具有相似特征的对照组。我想匹配的两个标准是年龄和性别。查询给我我想要匹配的数字是
select sex, age/10 as decades,COUNT(*) as counts
from
(
select distinct 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
结果集看起来像
这个时代的几十年专栏由以下表达式给出
(DATEPART(year,min(c.admitdate)) -m.yrdob)/10
并使用整数除法查找20-29岁,30-39岁等年龄段的人。例如,我想从更大的数据集中选择507位20多岁的女性。查找较大数据集特征的查询为
select distinct 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
编辑:来自第二个查询的结果
因此,我需要第二个查询中几十个列的
sum
与第一个查询中的counts
相等。下面是我尝试过的结果(返回零结果)。我要怎么做才能适应这些年龄?查询运行,但不返回结果:
select x.PATID--,x.sex,x.decades,y.counts
from
(
select distinct 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
) as x
inner join
(
select sex, age/10 as decades,COUNT(*) as counts
from
(
select distinct 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 y on x.sex=y.sex and x.decades=y.decades
group by y.counts,x.PATID,x.sex,y.sex
having SUM(x.decades)=y.counts and x.sex=y.sex
最佳答案
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
编辑:我发布了另一个与此类似的问题,在该问题中,我发现我的结果实际上并不是随机的,但它们只是TOP N个结果。我已经在最外面的查询中按
newid()
进行了排序,所有操作都围绕着完全相同的结果集进行了改组。从一个现已结束的问题中,我发现我需要在上述查询的注释行中将TOP
关键字与order by newid()
一起使用。关于sql - 从大型数据集中随机抽样,我们在Stack Overflow上找到一个类似的问题:https://stackoverflow.com/questions/13627486/