All your data are always missing: incorporating bias due to measurement error into the potential outcomes framework

Results on Differential and Dependent Measurement Error of the Exposure and the Outcome Using Signed Directed Acyclic Graphs

(2012) T. J. VanderWeele et al.   AMERICAN JOURNAL OF EPIDEMIOLOGY

Berksonʼs Bias, Selection Bias, and Missing Data

(2011) Daniel Westreich   EPIDEMIOLOGY

Invited Commentary: Positivity in Practice

(2010) D. Westreich et al.   AMERICAN JOURNAL OF EPIDEMIOLOGY

Concerning the Consistency Assumption in Causal Inference

(2010) Tyler J. VanderWeele   EPIDEMIOLOGY

On the Consistency Rule in Causal Inference

(2010) Judea Pearl   EPIDEMIOLOGY

On causal inference in the presence of interference

(2010) Eric J Tchetgen Tchetgen et al.   STATISTICAL METHODS IN MEDICAL RESEARCH

Relaxation Penalties and Priors for Plausible Modeling of Nonidentified Bias Sources

(2010) Sander Greenland   STATISTICAL SCIENCE

Invited Commentary: Causal Diagrams and Measurement Bias

(2009) M. A. Hernan et al.   AMERICAN JOURNAL OF EPIDEMIOLOGY

The Consistency Statement in Causal Inference

(2008) Stephen R. Cole et al.   EPIDEMIOLOGY

Toward Causal Inference With Interference

(2008) Michael G Hudgens et al.   JOURNAL OF THE AMERICAN STATISTICAL ASSOCIATION