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Items: 1 to 20 of 122

1.

The robustness of generalized estimating equations for association tests in extended family data.

Suktitipat B, Mathias RA, Vaidya D, Yanek LR, Young JH, Becker LC, Becker DM, Wilson AF, Fallin MD.

Hum Hered. 2012;74(1):17-26. doi: 10.1159/000341636. Epub 2012 Oct 3.

2.

An efficient and robust method for analyzing population pharmacokinetic data in genome-wide pharmacogenomic studies: a generalized estimating equation approach.

Nagashima K, Sato Y, Noma H, Hamada C.

Stat Med. 2013 Nov 30;32(27):4838-58. doi: 10.1002/sim.5895. Epub 2013 Jul 14.

PMID:
23852468
3.
4.

A comparison of strategies for analyzing dichotomous outcomes in genome-wide association studies with general pedigrees.

Chen MH, Liu X, Wei F, Larson MG, Fox CS, Vasan RS, Yang Q.

Genet Epidemiol. 2011 Nov;35(7):650-7. doi: 10.1002/gepi.20614. Epub 2011 Aug 4.

5.
6.

Comparison of generalized estimating equations and quadratic inference functions using data from the National Longitudinal Survey of Children and Youth (NLSCY) database.

Odueyungbo A, Browne D, Akhtar-Danesh N, Thabane L.

BMC Med Res Methodol. 2008 May 9;8:28. doi: 10.1186/1471-2288-8-28.

7.

Single Marker Family-Based Association Analysis Not Conditional on Parental Information.

Namkung J, Won S.

Methods Mol Biol. 2017;1666:409-439. doi: 10.1007/978-1-4939-7274-6_20.

PMID:
28980257
8.

Candidate-gene association studies with pedigree data: controlling for environmental covariates.

Slager SL, Schaid DJ, Wang L, Thibodeau SN.

Genet Epidemiol. 2003 May;24(4):273-83.

PMID:
12687644
9.

Performance of generalized estimating equations in practical situations.

Lipsitz SR, Fitzmaurice GM, Orav EJ, Laird NM.

Biometrics. 1994 Mar;50(1):270-8.

PMID:
8086610
10.

Small sample performance of bias-corrected sandwich estimators for cluster-randomized trials with binary outcomes.

Li P, Redden DT.

Stat Med. 2015 Jan 30;34(2):281-96. doi: 10.1002/sim.6344. Epub 2014 Oct 24.

11.

Covariance estimators for generalized estimating equations (GEE) in longitudinal analysis with small samples.

Wang M, Kong L, Li Z, Zhang L.

Stat Med. 2016 May 10;35(10):1706-21. doi: 10.1002/sim.6817. Epub 2015 Nov 19.

12.

Analysis of comparative data using generalized estimating equations.

Paradis E, Claude J.

J Theor Biol. 2002 Sep 21;218(2):175-85.

PMID:
12381290
13.

A covariance estimator for GEE with improved small-sample properties.

Mancl LA, DeRouen TA.

Biometrics. 2001 Mar;57(1):126-34.

PMID:
11252587
14.

Modified robust variance estimator for generalized estimating equations with improved small-sample performance.

Wang M, Long Q.

Stat Med. 2011 May 20;30(11):1278-91. doi: 10.1002/sim.4150. Epub 2010 Dec 29.

PMID:
21538453
16.

Assessing genetic linkage and association with robust components of variance approaches.

Amos CI, Zhu DK, Boerwinkle E.

Ann Hum Genet. 1996 Mar;60(Pt 2):143-60.

PMID:
8839128
17.

Validity and power of association testing in family-based sampling designs: evidence for and against the common wisdom.

Knight S, Camp NJ.

Genet Epidemiol. 2011 Apr;35(3):174-81. doi: 10.1002/gepi.20565. Epub 2011 Feb 16.

18.

Generalization of Rare Variant Association Tests for Longitudinal Family Studies.

Chien LC, Hsu FC, Bowden DW, Chiu YF.

Genet Epidemiol. 2016 Feb;40(2):101-12. doi: 10.1002/gepi.21951. Epub 2016 Jan 18.

PMID:
26783077
19.

Marginal semiparametric multivariate accelerated failure time model with generalized estimating equations.

Chiou SH, Kang S, Kim J, Yan J.

Lifetime Data Anal. 2014 Oct;20(4):599-618. doi: 10.1007/s10985-014-9292-x. Epub 2014 Feb 19.

PMID:
24549607
20.

Accounting for centre-effects in multicentre trials with a binary outcome - when, why, and how?

Kahan BC.

BMC Med Res Methodol. 2014 Feb 10;14:20. doi: 10.1186/1471-2288-14-20.

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