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Items: 1 to 20 of 68

1.

Joint modelling of longitudinal measurements and event time data.

Henderson R, Diggle P, Dobson A.

Biostatistics. 2000 Dec;1(4):465-80.

PMID:
12933568
2.

Shared parameter models for the joint analysis of longitudinal data and event times.

Vonesh EF, Greene T, Schluchter MD.

Stat Med. 2006 Jan 15;25(1):143-63.

PMID:
16025541
3.

Partly conditional survival models for longitudinal data.

Zheng Y, Heagerty PJ.

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

PMID:
16011684
4.

A nonlinear latent class model for joint analysis of multivariate longitudinal data and a binary outcome.

Proust-Lima C, Letenneur L, Jacqmin-Gadda H.

Stat Med. 2007 May 10;26(10):2229-45.

PMID:
16900568
5.

Maximum likelihood estimation in the joint analysis of time-to-event and multiple longitudinal variables.

Lin H, McCulloch CE, Mayne ST.

Stat Med. 2002 Aug 30;21(16):2369-82.

PMID:
12210621
6.

[Joint modeling of quantitative longitudinal data and censored survival time].

Jacqmin-Gadda H, ThiƩbaut R, Dartigues JF.

Rev Epidemiol Sante Publique. 2004 Dec;52(6):502-10. French.

PMID:
15741913
7.
8.
9.

Analysing sequential events in clinical trials.

Salter A, Raab G, Day S.

Clin Trials. 2006;3(5):421-30. Erratum in: Clin Trials. 2007;4(1):106.

PMID:
17060216
10.

A comparison of two methods for the estimation of precision with incomplete longitudinal data, jointly modelled with a time-to-event outcome.

Touloumi G, Babiker AG, Kenward MG, Pocock SJ, Darbyshire JH.

Stat Med. 2003 Oct 30;22(20):3161-75.

PMID:
14518021
11.

Joint models for multivariate longitudinal and multivariate survival data.

Chi YY, Ibrahim JG.

Biometrics. 2006 Jun;62(2):432-45.

PMID:
16918907
12.

Bootstrap analysis of multivariate failure time data.

Monaco J, Cai J, Grizzle J.

Stat Med. 2005 Nov 30;24(22):3387-400.

PMID:
16237657
13.

Artificial neural network for the joint modelling of discrete cause-specific hazards.

Biganzoli EM, Boracchi P, Ambrogi F, Marubini E.

Artif Intell Med. 2006 Jun;37(2):119-30. Epub 2006 May 30.

PMID:
16730963
14.

Bayesian transformation cure frailty models with multivariate failure time data.

Yin G.

Stat Med. 2008 Dec 10;27(28):5929-40. doi: 10.1002/sim.3371.

PMID:
18618427
15.

Parametric conditional frailty models for recurrent cardiovascular events in the lipid study.

Cui J, Forbes A, Kirby A, Marschner I, Simes J, West M, Tonkin A.

Clin Trials. 2008;5(6):565-74. doi: 10.1177/1740774508098464.

PMID:
19029205
16.

Analyzing sickness absence with statistical models for survival data.

Christensen KB, Andersen PK, Smith-Hansen L, Nielsen ML, Kristensen TS.

Scand J Work Environ Health. 2007 Jun;33(3):233-9.

17.

Selecting factors predictive of heterogeneity in multivariate event time data.

Dunson DB, Chen Z.

Biometrics. 2004 Jun;60(2):352-8.

PMID:
15180660
18.

Nested frailty models using maximum penalized likelihood estimation.

Rondeau V, Filleul L, Joly P.

Stat Med. 2006 Dec 15;25(23):4036-52.

PMID:
16463308
19.

A joint frailty model for survival and gap times between recurrent events.

Huang X, Liu L.

Biometrics. 2007 Jun;63(2):389-97.

PMID:
17688491
20.

Evaluation of a contract breeding management program in selected Ohio dairy herds with event-time analysis II. Parametric frailty models.

Meadows C, Rajala-Schultz PJ, Frazer GS, Phillips G, Meiring RW, Hoblet KH.

Prev Vet Med. 2007 Jul 16;80(2-3):89-102. Epub 2007 Jan 22.

PMID:
17241680

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