Diagnosing and responding to violations in the positivity assumption

The assumption of positivity or experimental treatment assignment requires that observed treatment levels vary within confounder strata. This article discusses the positivity assumption in the context of assessing model and parameter-specific identifiability of causal effects. Positivity violations...

Full description

Saved in:

Bibliographic Details
Published in:	Statistical methods in medical research Vol. 21; no. 1; pp. 31 - 54
Main Authors:	Petersen, Maya L, Porter, Kristin E, Gruber, Susan, Wang, Yue, van der Laan, Mark J
Format:	Journal Article
Language:	English
Published:	London, England SAGE Publications 01.02.2012 Sage Publications Ltd
Subjects:	Anti-HIV Agents - therapeutic use Bias Biomedical Research - statistics & numerical data Cohort Studies Computer Simulation - statistics & numerical data Confounding Factors, Epidemiologic Data Data Interpretation, Statistical Drug Resistance, Viral HIV Infections - drug therapy HIV Infections - genetics Humans Inference Lopinavir - therapeutic use Models, Statistical Modification Mutation Parameters Positive affect Proximity Trading Treatment methods Treatment Outcome Violations Working models realistic treatment rule positivity stabilised weights double robust parametric bootstrap trimming counterfactual experimental treatment assignment marginal structural model inverse probability weight causal inference truncation
ISSN:	0962-2802, 1477-0334, 1477-0334
Online Access:	Get full text
Tags:	Add Tag No Tags, Be the first to tag this record!

Be the first to leave a comment!