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Items: 1 to 20 of 173

1.
2.

Joint modelling of longitudinal and survival data: incorporating delayed entry and an assessment of model misspecification.

Crowther MJ, Andersson TM, Lambert PC, Abrams KR, Humphreys K.

Stat Med. 2016 Mar 30;35(7):1193-209. doi: 10.1002/sim.6779.

3.

Flexible parametric joint modelling of longitudinal and survival data.

Crowther MJ, Abrams KR, Lambert PC.

Stat Med. 2012 Dec 30;31(30):4456-71. doi: 10.1002/sim.5644.

PMID:
23037571
4.

A general framework for parametric survival analysis.

Crowther MJ, Lambert PC.

Stat Med. 2014 Dec 30;33(30):5280-97. doi: 10.1002/sim.6300.

PMID:
25220693
6.

Bias and precision of methods for estimating the difference in restricted mean survival time from an individual patient data meta-analysis.

Lueza B, Rotolo F, Bonastre J, Pignon JP, Michiels S.

BMC Med Res Methodol. 2016 Mar 29;16:37. doi: 10.1186/s12874-016-0137-z. Erratum in: BMC Med Res Methodol. 2016;16(1):71.

7.
8.

Partitioning of excess mortality in population-based cancer patient survival studies using flexible parametric survival models.

Eloranta S, Lambert PC, Andersson TM, Czene K, Hall P, Björkholm M, Dickman PW.

BMC Med Res Methodol. 2012 Jun 24;12:86. doi: 10.1186/1471-2288-12-86.

9.

Flexible parametric models for relative survival, with application in coronary heart disease.

Nelson CP, Lambert PC, Squire IB, Jones DR.

Stat Med. 2007 Dec 30;26(30):5486-98.

PMID:
17893893
10.
11.

Meta-analysis of pairs of survival curves under heterogeneity: a Poisson correlated gamma-frailty approach.

Fiocco M, Putter H, van Houwelingen JC.

Stat Med. 2009 Dec 30;28(30):3782-97. doi: 10.1002/sim.3752.

PMID:
19899066
12.

Applying conventional and saturated generalized gamma distributions in parametric survival analysis of breast cancer.

Yavari P, Abadi A, Amanpour F, Bajdik C.

Asian Pac J Cancer Prev. 2012;13(5):1829-31.

13.

Comparison of different parametric proportional hazards models for interval-censored data: a simulation study.

Gong Q, Fang L.

Contemp Clin Trials. 2013 Sep;36(1):276-83. doi: 10.1016/j.cct.2013.07.012.

14.

Fitting Weibull duration models with random effects.

Morris C, Christiansen C.

Lifetime Data Anal. 1995;1(4):347-59.

PMID:
9385109
15.

A computer graphical user interface for survival mixture modelling of recurrent infections.

Lee AH, Zhao Y, Yau KK, Ng SK.

Comput Biol Med. 2009 Mar;39(3):301-7. doi: 10.1016/j.compbiomed.2009.01.003.

PMID:
19232580
16.

The use of Gaussian quadrature for estimation in frailty proportional hazards models.

Liu L, Huang X.

Stat Med. 2008 Jun 30;27(14):2665-83.

PMID:
17910008
17.

Survival analysis of irish amyotrophic lateral sclerosis patients diagnosed from 1995-2010.

Rooney J, Byrne S, Heverin M, Corr B, Elamin M, Staines A, Goldacre B, Hardiman O.

PLoS One. 2013 Sep 30;8(9):e74733. doi: 10.1371/journal.pone.0074733.

18.

A mixed-effects regression model for three-level ordinal response data.

Raman R, Hedeker D.

Stat Med. 2005 Nov 15;24(21):3331-45.

PMID:
16206246
20.

Imputation of systematically missing predictors in an individual participant data meta-analysis: a generalized approach using MICE.

Jolani S, Debray TP, Koffijberg H, van Buuren S, Moons KG.

Stat Med. 2015 May 20;34(11):1841-63. doi: 10.1002/sim.6451.

PMID:
25663182
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