Principal Covariates Regression for Causal Case Studies
Researcher and analyst are often interested in estimating the effect of an intervention or treatment, which takes place at the aggregate level and affect one single unit, such as country and region. Thus, comparative case studies would be their first choice in practice. However, comparative case stu...
Saved in:
Main Authors: | Weibin Ding, Jie Li, Dian Jin, Jiayang Kong |
---|---|
Format: | Article |
Language: | English |
Published: |
Wiley
2022-01-01
|
Series: | Journal of Mathematics |
Online Access: | http://dx.doi.org/10.1155/2022/6211454 |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
Regression Analysis for Outcome-Dependent Sampling Design under the Covariate-Adjusted Additive Hazards Model
by: Yingli Pan, et al.
Published: (2020-01-01) -
An Analysis of the Economic Impact of US Presidential Elections Based on Principal Component and Logical Regression
by: Jing-Jing Wang, et al.
Published: (2021-01-01) -
A Stochastic Restricted Principal Components Regression Estimator in the Linear Model
by: Daojiang He, et al.
Published: (2014-01-01) -
The classification of concentration of mixture of analytes using total principal component regression
by: Romas Baronas, et al.
Published: (2005-12-01) -
Measurement of Quality of Life VII. Statistical Covariation and Global Quality of Life Data: The Method of Weight-Modified Linear Regression
by: Soren Ventegodt, et al.
Published: (2003-01-01)