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Items: 1 to 20 of 341

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Markov transition models for binary repeated measures with ignorable and nonignorable missing values.

Xiaowei Yang, Shoptaw S, Kun Nie, Juanmei Liu, Belin TR.

Stat Methods Med Res. 2007 Aug;16(4):347-64. Review.

PMID:
17715161
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4.

Non-response models for the analysis of non-monotone ignorable missing data.

Robins JM, Gill RD.

Stat Med. 1997 Jan 15-Feb 15;16(1-3):39-56.

PMID:
9004382
5.

Latent mixed Markov modelling of smoking transitions using Monte Carlo bootstrapping.

Mannan HR, Koval JJ.

Stat Methods Med Res. 2003 Mar;12(2):125-46.

PMID:
12665207
6.

A multistate Markov chain model for longitudinal, categorical quality-of-life data subject to non-ignorable missingness.

Cole BF, Bonetti M, Zaslavsky AM, Gelber RD.

Stat Med. 2005 Aug 15;24(15):2317-34.

PMID:
15977292
7.
8.

Functional regression analysis using an F test for longitudinal data with large numbers of repeated measures.

Yang X, Shen Q, Xu H, Shoptaw S.

Stat Med. 2007 Mar 30;26(7):1552-66.

PMID:
16817228
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11.

Bayesian analysis for generalized linear models with nonignorably missing covariates.

Huang L, Chen MH, Ibrahim JG.

Biometrics. 2005 Sep;61(3):767-80.

PMID:
16135028
12.
13.

A latent autoregressive model for longitudinal binary data subject to informative missingness.

Albert PS, Follmann DA, Wang SA, Suh EB.

Biometrics. 2002 Sep;58(3):631-42.

PMID:
12229998
14.

A semi-parametric shared parameter model to handle nonmonotone nonignorable missingness.

Tsonaka R, Verbeke G, Lesaffre E.

Biometrics. 2009 Mar;65(1):81-7. doi: 10.1111/j.1541-0420.2008.01021.x. Epub 2008 Mar 29.

PMID:
18373713
15.

A copula model for repeated measurements with non-ignorable non-monotone missing outcome.

Shen C, Weissfeld L.

Stat Med. 2006 Jul 30;25(14):2427-40.

PMID:
16143999
16.
17.

Power analyses for longitudinal study designs with missing data.

Tu XM, Zhang J, Kowalski J, Shults J, Feng C, Sun W, Tang W.

Stat Med. 2007 Jul 10;26(15):2958-81.

PMID:
17154250
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20.

Sample size for a two-group comparison of repeated binary measurements using GEE.

Jung SH, Ahn CW.

Stat Med. 2005 Sep 15;24(17):2583-96.

PMID:
16118812
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