Document Detail

Sample size importantly limits the usefulness of instrumental variable methods, depending on instrument strength and level of confounding.
MedLine Citation:
PMID:  25124167     Owner:  NLM     Status:  Publisher    
OBJECTIVES: Instrumental variable (IV) analysis is promising for estimation of therapeutic effects from observational data as it can circumvent unmeasured confounding. However, even if IV assumptions hold, IV analyses will not necessarily provide an estimate closer to the true effect than conventional analyses as this depends on the estimates' bias and variance. We investigated how estimates from standard regression (ordinary least squares [OLS]) and IV (two-stage least squares) regression compare on mean squared error (MSE).
STUDY DESIGN: We derived an equation for approximation of the threshold sample size, above which IV estimates have a smaller MSE than OLS estimates. Next, we performed simulations, varying sample size, instrument strength, and level of unmeasured confounding. IV assumptions were fulfilled by design.
RESULTS: Although biased, OLS estimates were closer on average to the true effect than IV estimates at small sample sizes because of their smaller variance. The threshold sample size above which IV analysis outperforms OLS regression depends on instrument strength and strength of unmeasured confounding but will usually be large given the typical moderate instrument strength in medical research.
CONCLUSION: IV methods are of most value in large studies if considerable unmeasured confounding is likely and a strong and plausible instrument is available.
Anna G C Boef; Olaf M Dekkers; Jan P Vandenbroucke; Saskia le Cessie
Related Documents :
7787217 - A cost-benefit analysis of feeding in female tsetse.
24503597 - Self-recalibrating classifiers for intracortical brain-computer interfaces.
20833537 - Catalytic reactive distillation process development for 1,1 diethoxy butane production ...
23269517 - On the relativity of relative frequencies.
12287547 - Fertility waves, aggregate savings and the rate of interest.
25016297 - Making models match measurements: model optimization for morphogen patterning networks.
Publication Detail:
Type:  JOURNAL ARTICLE     Date:  2014-8-11
Journal Detail:
Title:  Journal of clinical epidemiology     Volume:  -     ISSN:  1878-5921     ISO Abbreviation:  J Clin Epidemiol     Publication Date:  2014 Aug 
Date Detail:
Created Date:  2014-8-15     Completed Date:  -     Revised Date:  -    
Medline Journal Info:
Nlm Unique ID:  8801383     Medline TA:  J Clin Epidemiol     Country:  -    
Other Details:
Languages:  ENG     Pagination:  -     Citation Subset:  -    
Copyright Information:
Copyright © 2014 Elsevier Inc. All rights reserved.
Export Citation:
APA/MLA Format     Download EndNote     Download BibTex
MeSH Terms

From MEDLINE®/PubMed®, a database of the U.S. National Library of Medicine

Previous Document:  Mental health/illness and prisons as place: Frontline clinicians? perspectives of mental health work...
Next Document:  Side effects are incompletely reported among systematic reviews in gastroenterology.