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...

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Veröffentlicht in:	Statistical methods in medical research Jg. 21; H. 1; S. 31 - 54
Hauptverfasser:	Petersen, Maya L, Porter, Kristin E, Gruber, Susan, Wang, Yue, van der Laan, Mark J
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	London, England SAGE Publications 01.02.2012 Sage Publications Ltd
Schlagworte:	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-Zugang:	Volltext
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