[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 …
WD Flanders, M Klein, LA Darrow… - …, 2011 - journals.lww.com Wolters Kluwer Health may email you for journal alerts and information, but is committed to maintaining your privacy and will not share your personal information without your express consent. For more information, please refer to our Privacy Policy. ... Skip Navigation Links Home > Current ... Related articles - All 5 versions
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 ... Related articles - All 6 versions
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
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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