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Items: 1 to 20 of 123

1.

Statistical analysis of correlated data using generalized estimating equations: an orientation.

Hanley JA, Negassa A, Edwardes MD, Forrester JE.

Am J Epidemiol. 2003 Feb 15;157(4):364-75.

PMID:
12578807
2.
3.

Performance of weighted estimating equations for longitudinal binary data with drop-outs missing at random.

Preisser JS, Lohman KK, Rathouz PJ.

Stat Med. 2002 Oct 30;21(20):3035-54.

PMID:
12369080
4.

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.

5.

An appraisal of methods for the analysis of longitudinal categorical data with MAR drop-outs.

O'Hara Hines RJ, Hines WG.

Stat Med. 2005 Dec 15;24(23):3549-63.

PMID:
16217856
6.

A simple imputation method for longitudinal studies with non-ignorable non-responses.

Wang M, Fitzmaurice GM.

Biom J. 2006 Apr;48(2):302-18.

PMID:
16708780
7.

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
8.

A nonparametric smoothing method for assessing GEE models with longitudinal binary data.

Lin KC, Chen YJ, Shyr Y.

Stat Med. 2008 Sep 30;27(22):4428-39. doi: 10.1002/sim.3315.

PMID:
18613210
9.

Comparison of population-averaged and subject-specific approaches for analyzing repeated binary outcomes.

Hu FB, Goldberg J, Hedeker D, Flay BR, Pentz MA.

Am J Epidemiol. 1998 Apr 1;147(7):694-703.

PMID:
9554609
10.
11.
12.

Bias in estimating association parameters for longitudinal binary responses with drop-outs.

Fitzmaurice GM, Lipsitz SR, Molenberghs G, Ibrahim JG.

Biometrics. 2001 Mar;57(1):15-21.

PMID:
11252590
13.

GEE analysis of negatively correlated binary responses: a caution.

Hanley JA, Negassa A, Edwardes MD.

Stat Med. 2000 Mar 15;19(5):715-22.

PMID:
10700741
14.

Sample size calculations for studies with correlated observations.

Liu G, Liang KY.

Biometrics. 1997 Sep;53(3):937-47.

PMID:
9290224
15.

A note on the use of unbiased estimating equations to estimate correlation in analysis of longitudinal trials.

Sun W, Shults J, Leonard M.

Biom J. 2009 Feb;51(1):5-18. doi: 10.1002/bimj.200710493.

PMID:
19197953
16.

What can go wrong when ignoring correlation bounds in the use of generalized estimating equations.

Sabo RT, Chaganty NR.

Stat Med. 2010 Oct 30;29(24):2501-7. doi: 10.1002/sim.4013.

PMID:
20690109
17.

Analysis of incomplete longitudinal binary data using multiple imputation.

Li X, Mehrotra DV, Barnard J.

Stat Med. 2006 Jun 30;25(12):2107-24.

PMID:
16220495
18.

A multivariate family-based association test using generalized estimating equations: FBAT-GEE.

Lange C, Silverman EK, Xu X, Weiss ST, Laird NM.

Biostatistics. 2003 Apr;4(2):195-206.

PMID:
12925516
19.

Longitudinal data analysis for discrete and continuous outcomes.

Zeger SL, Liang KY.

Biometrics. 1986 Mar;42(1):121-30.

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