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Items: 1 to 20 of 132

1.

Methodological challenges in mendelian randomization.

VanderWeele TJ, Tchetgen Tchetgen EJ, Cornelis M, Kraft P.

Epidemiology. 2014 May;25(3):427-35. doi: 10.1097/EDE.0000000000000081. Review.

2.

Mendelian randomization with invalid instruments: effect estimation and bias detection through Egger regression.

Bowden J, Davey Smith G, Burgess S.

Int J Epidemiol. 2015 Apr;44(2):512-25. doi: 10.1093/ije/dyv080. Epub 2015 Jun 6.

3.

Mendelian randomization studies: a review of the approaches used and the quality of reporting.

Boef AG, Dekkers OM, le Cessie S.

Int J Epidemiol. 2015 Apr;44(2):496-511. doi: 10.1093/ije/dyv071. Epub 2015 May 6. Review.

4.

The effect of non-differential measurement error on bias, precision and power in Mendelian randomization studies.

Pierce BL, VanderWeele TJ.

Int J Epidemiol. 2012 Oct;41(5):1383-93. doi: 10.1093/ije/dys141. Erratum in: Int J Epidemiol. 2014 Dec;43(6):1999.

5.

Mendelian randomization in health research: using appropriate genetic variants and avoiding biased estimates.

Taylor AE, Davies NM, Ware JJ, VanderWeele T, Smith GD, Munafò MR.

Econ Hum Biol. 2014 Mar;13:99-106. doi: 10.1016/j.ehb.2013.12.002. Epub 2013 Dec 13.

6.

Avoiding bias from weak instruments in Mendelian randomization studies.

Burgess S, Thompson SG; CRP CHD Genetics Collaboration.

Int J Epidemiol. 2011 Jun;40(3):755-64. doi: 10.1093/ije/dyr036. Epub 2011 Mar 16. Review.

7.

An integrated approach to the meta-analysis of genetic association studies using Mendelian randomization.

Minelli C, Thompson JR, Tobin MD, Abrams KR.

Am J Epidemiol. 2004 Sep 1;160(5):445-52.

8.

Credible Mendelian randomization studies: approaches for evaluating the instrumental variable assumptions.

Glymour MM, Tchetgen Tchetgen EJ, Robins JM.

Am J Epidemiol. 2012 Feb 15;175(4):332-9. doi: 10.1093/aje/kwr323. Epub 2012 Jan 12.

9.

Use of allele scores as instrumental variables for Mendelian randomization.

Burgess S, Thompson SG.

Int J Epidemiol. 2013 Aug;42(4):1134-44. doi: 10.1093/ije/dyt093.

10.

Mendelian randomization analysis with multiple genetic variants using summarized data.

Burgess S, Butterworth A, Thompson SG.

Genet Epidemiol. 2013 Nov;37(7):658-65. doi: 10.1002/gepi.21758. Epub 2013 Sep 20.

11.

Severity of bias of a simple estimator of the causal odds ratio in Mendelian randomization studies.

Harbord RM, Didelez V, Palmer TM, Meng S, Sterne JA, Sheehan NA.

Stat Med. 2013 Mar 30;32(7):1246-58. doi: 10.1002/sim.5659. Epub 2012 Oct 18.

PMID:
23080538
12.

Mendelian randomization: potential use of genetics to enable causal inferences regarding HIV-associated biomarkers and outcomes.

He W, Castiblanco J, Walter EA, Okulicz JF, Ahuja SK.

Curr Opin HIV AIDS. 2010 Nov;5(6):545-59. doi: 10.1097/COH.0b013e32833f2087. Review.

13.

Bias in causal estimates from Mendelian randomization studies with weak instruments.

Burgess S, Thompson SG.

Stat Med. 2011 May 20;30(11):1312-23. doi: 10.1002/sim.4197. Epub 2011 Mar 22.

PMID:
21432888
14.

Can we apply the Mendelian randomization methodology without considering epigenetic effects?

Ogbuanu IU, Zhang H, Karmaus W.

Emerg Themes Epidemiol. 2009 May 11;6:3. doi: 10.1186/1742-7622-6-3.

15.

Bayesian methods for instrumental variable analysis with genetic instruments ('Mendelian randomization'): example with urate transporter SLC2A9 as an instrumental variable for effect of urate levels on metabolic syndrome.

McKeigue PM, Campbell H, Wild S, Vitart V, Hayward C, Rudan I, Wright AF, Wilson JF.

Int J Epidemiol. 2010 Jun;39(3):907-18. doi: 10.1093/ije/dyp397. Epub 2010 Mar 25.

16.

Power and sample size calculations for Mendelian randomization studies using one genetic instrument.

Freeman G, Cowling BJ, Schooling CM.

Int J Epidemiol. 2013 Aug;42(4):1157-63. doi: 10.1093/ije/dyt110. Epub 2013 Aug 9.

17.

Beyond Mendelian randomization: how to interpret evidence of shared genetic predictors.

Burgess S, Butterworth AS, Thompson JR.

J Clin Epidemiol. 2016 Jan;69:208-16. doi: 10.1016/j.jclinepi.2015.08.001. Epub 2015 Aug 18.

18.
19.

Network Mendelian randomization: using genetic variants as instrumental variables to investigate mediation in causal pathways.

Burgess S, Daniel RM, Butterworth AS, Thompson SG; EPIC-InterAct Consortium.

Int J Epidemiol. 2015 Apr;44(2):484-95. doi: 10.1093/ije/dyu176. Epub 2014 Aug 22.

20.

Sample size and power calculations in Mendelian randomization with a single instrumental variable and a binary outcome.

Burgess S.

Int J Epidemiol. 2014 Jun;43(3):922-9. doi: 10.1093/ije/dyu005. Epub 2014 Mar 6.

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