Instrumental variables and inverse probability weighting for causal inference from longitudinal observational studies

Joseph W. Hogan, Tony Lancaster

Type: Article

Publication Date: 2004-02-01

Citations: 151

DOI: https://doi.org/10.1191/0962280204sm351ra

View Publication

Locations

Statistical Methods in Medical Research - View
PubMed - View

Similar Works

Action	Title	Year	Authors
+	Unifying instrumental variable and inverse probability weighting approaches for inference of causal treatment effect and unmeasured confounding in observational studies	2020	Tao Liu Joseph W. Hogan
+	Estimation of Direct and Indirect Causal Effects in Longitudinal Studies	2004	Mark J. van der Laan Maya Petersen
+	Inference about ATE from Observational Studies with Continuous Outcome and Unmeasured Confounding	2013	Tao Liu Joseph W. Hogan
+	Regression and Weighting Methods for Causal Inference Using Instrumental Variables	2006	Zhiqiang Tan
+	A review of instrumental variables estimation in the applied health sciences	2007	Paul Grootendorst
+	A review of instrumental variables estimation in the applied health sciences	2007	Paul Grootendorst
+ PDF Chat	Instrumental variable methods for causal inference	2014	Michael Baiocchi Jing Cheng Dylan S. Small
+	Instruments for Causal Inference	2006	Miguel A. Hernán James M. Robins
+ PDF Chat	Instrumental variables I: instrumental variables exploit natural variation in nonexperimental data to estimate causal relationships	2009	Jeremy A. Rassen M. Alan Brookhart Robert J. Glynn Murray A. Mittleman Sebastian Schneeweiß
+ PDF Chat	Instrumental Variable Estimators for Binary Outcomes	2012	Paul S. Clarke Frank Windmeijer
+	Instrumental Variables in Causal Inference and Machine Learning: A Survey	2022	Anpeng Wu Kun Kuang Ruoxuan Xiong Fei Wu
+ PDF Chat	Instrumental Variable Analyses and Selection Bias	2017	Chelsea E. Canan Catherine R. Lesko Bryan Lau
+	Measurement error and causal inference with instrumental variables	2009	Manoochehr Babanezhad
+	Instrumental Variables with Treatment-Induced Selection: Exact Bias Results	2020	Felix Elwert Elan Segarra
+	Using instrumental variables to establish causality	2024	Grigory Aleksin Sascha O. Becker
+ PDF Chat	Instrumental Variable Analysis	2017	Michael Baiocchi Jing Cheng Dylan S. Small
+	Instrumental Variable Analysis	2019	Michael Baiocchi Jing Cheng Dylan S. Small
+ PDF Chat	An Introduction to Instrumental Variables Analysis: Part 1	2010	Derrick Bennett
+ PDF Chat	A Gentle Introduction to Instrumental Variables	2022	Tarjei Widding‐Havneraas Henrik Daae Zachrisson
+ PDF Chat	On Instrumental Variables Estimation of Causal Odds Ratios	2011	Stijn Vansteelandt Jack Bowden Manoochehr Babanezhad Els Goetghebeur

Works That Cite This (57)

Action	Title	Year	Authors
+	A Comparison of Causal Inference Methods and Their Application in Big Data Analytics	2018	Xuan Wang
+ PDF Chat	Educational Leave as a Time Resource for Participation in Adult Learning and Education (ALE)	2020	Fabian Rüter Andreas Martin Josef Schrader
+ PDF Chat	When does attrition lead to biased estimates of alcohol consumption? Bias analysis for loss to follow‐up in 30 longitudinal cohorts	2020	Katherine M. Keyes Justin Jager Jonathan Platt Caroline Rutherford Megan E. Patrick Deborah D. Kloska John E. Schulenberg
+ PDF Chat	Statistical sensitivity analysis for the estimation of fetal alcohol spectrum disorders prevalence	2019	Ronghui Xu Gordon Honerkamp‐Smith Christina Chambers
+	Two‐stage instrumental variable methods for estimating the causal odds ratio: Analysis of bias	2011	Bing Cai Dylan S. Small Rth Ho
+	Quantitative Evaluation of the Trade-Off of Strengthened Instruments and Sample Size in Observational Studies	2017	Ashkan Ertefaie Dylan S. Small Paul R. Rosenbaum
+	Multiple imputation using chained equations: Issues and guidance for practice	2010	Ian R. White Patrick Royston Angela Wood
+	Stable Weights that Balance Covariates for Estimation With Incomplete Outcome Data	2015	José R. Zubizarreta
+	Modified inverse propensity weighting method to alleviate estimation errors in the model with multiple endogenous variables	2023	Bhubaneswor Dhakal Geraldine F. H. McLeod Andrea Insch Joseph M. Boden
+ PDF Chat	Addressing unmeasured confounders in cohort studies: Instrumental variable method for a time‐fixed exposure on an outcome trajectory	2023	Kateline Le Bourdonnec Cécilia Samieri Christophe Tzourio Thibault Mura Aniket Mishra David‐Alexandre Trégouët Cécile Proust‐Lima

Works Cited by This (60)

Action	Title	Year	Authors
+ PDF Chat	On the Application of Probability Theory to Agricultural Experiments. Essay on Principles. Section 9	1990	Jerzy Splawa-Neyman D. M. Dabrowska Terence P. Speed
+	Methods in Observational Epidemiology	1986	Jennifer L. Kelsey
+	The Assumptions on Which Causal Inferences Rest	1993	Richard A. Stone
+	None	1999	James M. Robins
+	Causal Inference from Complex Longitudinal Data	1997	James M. Robins
+	Marginal Structural Models to Estimate the Joint Causal Effect of Nonrandomized Treatments	2001	Miguel A. Hernán Babette Brumback James M. Robins
+	A New Approach to Estimating Switching Regressions	1972	Richard E. Quandt
+	Two-Stage Least Squares Estimation of Average Causal Effects in Models with Variable Treatment Intensity	1995	Joshua D. Angrist Guido W. Imbens
+ PDF Chat	Marginal Mean Models for Dynamic Regimes	2001	Susan A. Murphy Mark J. van der Laan James M. Robins
+	Statistics and Causal Inference	1986	Paul W. Holland