| 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, 
											