why oversampling in Logistic Regression

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

[size=1em]when people use logistic regression for modeling response of rare occurence, one practice widely accepted is oversampling or undersampling to model these rare events. What is the benefit? The model  should be the same, except the intercept. Or if anyone can share the following two papers with me, it will be really appreciated.
[size=1em]1.Scott, A. J.and Wild, C. J. (1986) Fitting logistic models under case-control or choice based sampling Journal of the Royal Statistical Society. Series B, 48,170-182.
2. Scott, A. J.and Wild, C. J. (1997) Fitting logistic models to case-control data by Maximum Likelihood, Biometrika 84, 57-61.

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：oversampling regression regressio Sampling logistic regression logistic Why oversampling