Article ID | Journal | Published Year | Pages | File Type |
---|---|---|---|---|
7549492 | Statistics & Probability Letters | 2015 | 7 Pages |
Abstract
Efficient semiparametric estimation of longitudinal causal effects is often analytically or computationally intractable. We propose a novel restricted estimation approach for increasing efficiency, which can be used with other techniques, is straightforward to implement, and requires no additional modeling assumptions.
Related Topics
Physical Sciences and Engineering
Mathematics
Statistics and Probability
Authors
Edward H. Kennedy, Marshall M. Joffe, Dylan S. Small,