Optimal restricted estimation for more efficient longitudinal causal inference

被引：0

作者：

Kennedy, Edward H. ^{[1
]}

Joffe, Marshall M. ^{[1
]}

Small, Dylan S. ^{[2
]}

机构：

[1] Univ Penn, Dept Biostat & Epidemiol, Philadelphia, PA 19104 USA

[2] Univ Penn, Wharton Sch, Dept Stat, Philadelphia, PA 19104 USA

来源：

STATISTICS & PROBABILITY LETTERS | 2015年 / 97卷

关键词：

Doubly robust; Generalized method of moments; Marginal structural model; Semiparametric efficiency; Structural nested model; Time-varying confounding; GENERALIZED-METHOD; MOMENTS;

D O I：

10.1016/j.spl.2014.11.022

中图分类号：

O21 [概率论与数理统计]; C8 [统计学];

学科分类号：

020208 ; 070103 ; 0714 ;

摘要：

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. (C) 2014 Elsevier B.V. All rights reserved.

引用

页码：185 / 191

页数：7

共 50 条

[21] Doubly robust estimation in causal inference with missing outcomes: With an application to the Aerobics Center Longitudinal Study
Wei, Kecheng
Qin, Guoyou
Zhang, Jiajia
Sui, Xuemei
[J]. COMPUTATIONAL STATISTICS & DATA ANALYSIS, 2022, 168
[22] Instrumental Variable Estimation for Causal Inference in Longitudinal Data with Time-Dependent Latent Confounders
Cheng, Debo
Xu, Ziqi
Li, Jiuyong
Liu, Lin
Liu, Jixue
Gao, Wentao
Le, Thuc Duy
[J]. THIRTY-EIGHTH AAAI CONFERENCE ON ARTIFICIAL INTELLIGENCE, VOL 38 NO 10, 2024, : 11480 - 11488
[23] Causal Network Inference by Optimal Causation Entropy
Sun, Jie
Taylor, Dane
Bollt, Erik M.
[J]. SIAM JOURNAL ON APPLIED DYNAMICAL SYSTEMS, 2015, 14 (01): : 73 - 106
[24] Generalized Optimal Matching Methods for Causal Inference
Kallus, Nathan
[J]. JOURNAL OF MACHINE LEARNING RESEARCH, 2020, 21
[25] Optimal causal inference: Estimating stored information and approximating causal architecture
Still, Susanne
Crutchfield, James P.
Ellison, Christopher J.
[J]. CHAOS, 2010, 20 (03)
[26] Optimal Causal Decision Trees Ensemble for Improved Prediction and Causal Inference
Younas, Neelam
Ali, Amjad
Hina, Hafsa
Hamraz, Muhammad
Khan, Zardad
Aldahmani, Saeed
[J]. IEEE ACCESS, 2022, 10 : 13000 - 13011
[27] Relaxed doubly robust estimation in causal inference
Xu, Tinghui
Zhao, Jiwei
[J]. STATISTICAL THEORY AND RELATED FIELDS, 2024, 8 (01) : 69 - 79
[28] Causal effect estimation and inference using Stata
Terza, Joseph V.
[J]. STATA JOURNAL, 2017, 17 (04): : 939 - 961
[29] Causal inference for longitudinal data based on historical controls
Liu, Jeen
Zhang, Jane
Mitchell, Alan
Fang, Mindy
Tian, Lu
[J]. JOURNAL OF BIOPHARMACEUTICAL STATISTICS, 2023, 33 (03) : 289 - 306
[30] Causal inference for complex longitudinal data: The continuous case
Gill, RD
Robins, JM
[J]. ANNALS OF STATISTICS, 2001, 29 (06): : 1785 - 1811

← 1 2 3 4 5 →