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[CITATION] … or tails?: The role of chance; 7. All that glitters is not gold: the problem of error; 8. Muddied waters: the challenge of confounding; 9. Reading between the …

P Webb… - 2011 - Cambridge University Press

A Method for Detection of Residual Confounding in Time-series and Other Observational Studies

WD Flanders, M Klein, LA Darrow… - …, 2011 - journals.lww.com
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Independent surrogate variable analysis to deconvolve confounding factors in large-scale microarray profiling studies

AE Teschendorff, J Zhuang… - Bioinformatics, 2011 - Oxford Univ Press
Results: Based on the notion that data can be viewed as an interference pattern, reflecting the
superposition of independent effects and random noise, we present a modified SVA, called Independent
Surrogate Variable Analysis (ISVA), to identify features correlating with a phenotype of ...
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Re: Comparative Effectiveness of Prostate Cancer Treatments: Evaluating Statistical Adjustments for Confounding in Observational Data

AJ Vickers - Journal of the National Cancer Institute, 2011 - jnci.oxfordjournals.org
The key part of this claim is that of results being “more similar.” There are two possibilities why
the authors may have drawn this conclusion. The first is that the central estimate from the instrumental
variable analysis (a hazard ratio of 0.73) is similar to that reported in the randomized trial ...
All 2 versions

Dependence of Confounding on the Target Population: A Modification of Causal Graphs to Account for Co-Action

WD Flanders, CY Johnson, PP Howards… - Annals of …, 2011 - Elsevier
Directed acyclic graphs (DAGs) are useful tools for assessing confounding. However, the basic
approach to detecting confounding in DAGs does not distinguish among various forms of interaction
between the exposure and covariates and between different target populations for which ...
Related articles - All 2 versions

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