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The Covariate's Dilemma

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Vyšlo v časopise: The Covariate's Dilemma. PLoS Genet 8(11): e32767. doi:10.1371/journal.pgen.1003096
Kategorie: Perspective
prolekare.web.journal.doi_sk: https://doi.org/10.1371/journal.pgen.1003096

Souhrn

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Zdroje

1. PirinenM, DonnellyP, SpencerCCA (2012) Including known covariates can reduce power to detect genetic effects in case-control studies. Nat Genet 44: 848–851.

2. RobinsonLD, JewellNP (1991) Some surprising results about covariate adjustment in logistic regression models. Int Stat Rev 59: 227–240.

3. NeuhausJM, JewellNP (1993) A geometrical approach to assess bias due to omitted covariates in generalized linear models. Biometrika 80: 807–815.

4. NeuhausJM (1998) Estimation efficiency with omitted covariates in generalized linear models. J Am Stat Assoc 93: 1124–1129.

5. KuoCL, FeingoldE (2010) What's the best statistic for a simple test of genetic association in a case-control study? Genet Epidemiol 34: 246–253.

6. ZaitlenN, LindströmS, PasaniucB, CornelisM, GenoveseG, et al. (2012) Informed conditioning on clinical covariates increases power in case-control association studies. PLoS Genet 8: e1003032 doi:10.1371/journal.pgen.1003032

7. XingG, XingC (2010) Adjusting for covariates in logistic regression models. Genet Epidemiol 34: 769–771.

8. Rothman KJ, Greenland S, Lash TL (2008) Modern epidemiology. 3rd edition. Philadelphia: Lippincott Williams & Wilkins. pp. 175–179.

9. ZaitlenN, PasanuicB, PattersonN, PollackS, VoightB, et al. (2012) Analysis of case-control association studies with known risk variants. Bioinformatics 28: 1729–1737.

10. ClaytonD (2012) Link functions in multi-locus genetic models: Implications for testing, prediction, and interpretation. Genet Epidemiol 36: 409–418.

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Článok vyšiel v časopise

PLOS Genetics

2012 Číslo 11

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Autori: MUDr. Tomáš Ürge, PhD.

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