LSGM是最小二乘几何均数吧？

是 否 +2 论坛币

k人 参与回答

经管之家送您一份

应届毕业生专属福利!

求职就业群

赵安豆老师微信：zhaoandou666

经管之家联合CDA

送您一个全额奖学金名额~ !

立即领取

感谢您参与论坛问题回答

经管之家送您两个论坛币！

+2 论坛币

看到一篇文献这样写的：“Fot the multiple regression models,we used the variables decribed below and all possible two-way interactions to calculate the adjusted least square geometric mean(LSGM) concentrations(in mincrograms per liter) ,which provide geometric mean estimates for a variable after adjustment for the model covariates. ”LSGM是最小二乘几何均数吧？用SAS怎么样计算啊？请高手指点！！！

扫码加我 拉你入群

请注明：姓名-公司-职位

以便审核进群资格，未注明则拒绝

分享0 收藏0 回帖

关键词：LSGM 最小二乘 SGM interactions interaction adjusted multiple possible provide least

1# previal

I guess, they merely do the multivariable regression on the log-transformed response variable of concentration first and then get the least square mean of the transformed response. When back to the concentration itself, the back-transformed least square mean is called the least square geometric mean of concentration. It looks like as the following formula:

Estimate of E[Y|X] = exp{[log(y1|x)+log(y2|x)+….]/n} = exp{log[(y1*y2*…)^(1/n)]} = exp{Estimate of E[log(Y)|X},
Where (y1*y2*…)^(1/n) is the geometric mean of Y, the concentration.

JingJu

jingju都是英语