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An Introduction to Sensitivity Analysis for Unobserved Confounding in Nonexperimental Prevention Research.
MedLine Citation:
PMID:  23408282     Owner:  NLM     Status:  Publisher    
Abstract/OtherAbstract:
Despite the fact that randomization is the gold standard for estimating causal relationships, many questions in prevention science are often left to be answered through nonexperimental studies because randomization is either infeasible or unethical. While methods such as propensity score matching can adjust for observed confounding, unobserved confounding is the Achilles heel of most nonexperimental studies. This paper describes and illustrates seven sensitivity analysis techniques that assess the sensitivity of study results to an unobserved confounder. These methods were categorized into two groups to reflect differences in their conceptualization of sensitivity analysis, as well as their targets of interest. As a motivating example, we examine the sensitivity of the association between maternal suicide and offspring's risk for suicide attempt hospitalization. While inferences differed slightly depending on the type of sensitivity analysis conducted, overall, the association between maternal suicide and offspring's hospitalization for suicide attempt was found to be relatively robust to an unobserved confounder. The ease of implementation and the insight these analyses provide underscores sensitivity analysis techniques as an important tool for nonexperimental studies. The implementation of sensitivity analysis can help increase confidence in results from nonexperimental studies and better inform prevention researchers and policy makers regarding potential intervention targets.
Authors:
Weiwei Liu; S Janet Kuramoto; Elizabeth A Stuart
Publication Detail:
Type:  JOURNAL ARTICLE     Date:  2013-2-14
Journal Detail:
Title:  Prevention science : the official journal of the Society for Prevention Research     Volume:  -     ISSN:  1573-6695     ISO Abbreviation:  Prev Sci     Publication Date:  2013 Feb 
Date Detail:
Created Date:  2013-2-14     Completed Date:  -     Revised Date:  -    
Medline Journal Info:
Nlm Unique ID:  100894724     Medline TA:  Prev Sci     Country:  -    
Other Details:
Languages:  ENG     Pagination:  -     Citation Subset:  -    
Affiliation:
NORC at the University of Chicago, Bethesda, MD, USA, liu-weiwei@norc.org.
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