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Items: 1 to 20 of 359

2.

Marginal analysis of correlated failure time data with informative cluster sizes.

Cong XJ, Yin G, Shen Y.

Biometrics. 2007 Sep;63(3):663-72.

PMID:
17825000
3.

Marginal analysis for clustered failure time data.

Lu SE, Wang MC.

Lifetime Data Anal. 2005 Mar;11(1):61-79.

PMID:
15747590
4.

Multilevel mixture cure models with random effects.

Lai X, Yau KK.

Biom J. 2009 Jun;51(3):456-66. doi: 10.1002/bimj.200800222.

PMID:
19588451
5.

Discussions.

Have TT.

Biometrics. 2007 Sep;63(3):654-5. No abstract available.

PMID:
17824997
6.
7.

A modified pseudolikelihood approach for analysis of longitudinal data.

Wang YG, Zhao Y.

Biometrics. 2007 Sep;63(3):681-9.

PMID:
17825002
8.

Cohort case-control design and analysis for clustered failure-time data.

Lu SE, Wang MC.

Biometrics. 2002 Dec;58(4):764-72.

PMID:
12495130
9.
10.

Estimating survival and association in a semicompeting risks model.

Lakhal L, Rivest LP, Abdous B.

Biometrics. 2008 Mar;64(1):180-8. Epub 2007 Jul 23.

PMID:
17645782
11.

Modeling survival data with informative cluster size.

Williamson JM, Kim HY, Manatunga A, Addiss DG.

Stat Med. 2008 Feb 20;27(4):543-55.

PMID:
17640035
12.

Modeling late entry bias in survival analysis.

Matsuura M, Eguchi S.

Biometrics. 2005 Jun;61(2):559-66.

PMID:
16011705
13.

Partly conditional survival models for longitudinal data.

Zheng Y, Heagerty PJ.

Biometrics. 2005 Jun;61(2):379-91.

PMID:
16011684
14.

Case-cohort designs and analysis for clustered failure time data.

Lu SE, Shih JH.

Biometrics. 2006 Dec;62(4):1138-48.

PMID:
17156289
15.
16.

A generalized log-rank-type test for comparing survivals with doubly interval-censored data.

Kim J, Kim YJ, Nam CM.

Biom J. 2009 Aug;51(4):689-96. doi: 10.1002/bimj.200800253.

PMID:
19650058
17.

Principal stratification designs to estimate input data missing due to death.

Frangakis CE, Rubin DB, An MW, MacKenzie E.

Biometrics. 2007 Sep;63(3):641-9; discussion 650-62.

PMID:
17824995
18.

Modelling multivariate outcomes in hierarchical data, with application to cluster randomised trials.

Turner RM, Omar RZ, Thompson SG.

Biom J. 2006 Jun;48(3):333-45.

PMID:
16845899
19.

Sample size calculations in the presence of competing risks.

Latouche A, Porcher R.

Stat Med. 2007 Dec 30;26(30):5370-80.

PMID:
17955563
20.

Proportional hazards regression for cancer studies.

Ghosh D.

Biometrics. 2008 Mar;64(1):141-8. Epub 2007 Jun 15.

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