Limitations of individual causal models, causal graphs, and ignorability assumptions, as illustrated by random confounding and design unfaithfulness

The Relation of Collapsibility and Confounding to Faithfulness and Stability

(2015) Mohammad Ali Mansournia et al.   EPIDEMIOLOGY

Matched designs and causal diagrams

(2013) Mohammad A Mansournia et al.   INTERNATIONAL JOURNAL OF EPIDEMIOLOGY

Covariate balancing propensity score

(2013) Kosuke Imai et al.   JOURNAL OF THE ROYAL STATISTICAL SOCIETY SERIES B-STATISTICAL METHODOLOGY

Ignoring the matching variables in cohort studies - when is it valid and why?

(2013) Arvid Sjölander et al.   STATISTICS IN MEDICINE

Seven myths of randomisation in clinical trials

(2012) Stephen Senn   STATISTICS IN MEDICINE

Model misspecification and robustness in causal inference: comparing matching with doubly robust estimation

(2012) Ingeborg Waernbaum   STATISTICS IN MEDICINE

Adjustments and their Consequences-Collapsibility Analysis using Graphical Models

(2011) Sander Greenland et al.   INTERNATIONAL STATISTICAL REVIEW

Matching Methods for Causal Inference: A Review and a Look Forward

(2010) Elizabeth A. Stuart   STATISTICAL SCIENCE