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Items: 1 to 20 of 101

1.

Cure models as a useful statistical tool for analyzing survival.

Othus M, Barlogie B, Leblanc ML, Crowley JJ.

Clin Cancer Res. 2012 Jul 15;18(14):3731-6. doi: 10.1158/1078-0432.CCR-11-2859.

2.

A proportional hazards model taking account of long-term survivors.

Tsodikov A.

Biometrics. 1998 Dec;54(4):1508-16.

PMID:
9883549
3.

Estimating and modeling the cure fraction in population-based cancer survival analysis.

Lambert PC, Thompson JR, Weston CL, Dickman PW.

Biostatistics. 2007 Jul;8(3):576-94.

PMID:
17021277
4.

Practical application of cure mixture model for long-term censored survivor data from a withdrawal clinical trial of patients with major depressive disorder.

Arano I, Sugimoto T, Hamasaki T, Ohno Y.

BMC Med Res Methodol. 2010 Apr 23;10:33. doi: 10.1186/1471-2288-10-33.

5.

A Bayesian long-term survival model parametrized in the cured fraction.

de Castro M, Cancho VG, Rodrigues J.

Biom J. 2009 Jun;51(3):443-55. doi: 10.1002/bimj.200800199.

PMID:
19572318
6.

Estimating and modelling cure in population-based cancer studies within the framework of flexible parametric survival models.

Andersson TM, Dickman PW, Eloranta S, Lambert PC.

BMC Med Res Methodol. 2011 Jun 22;11:96. doi: 10.1186/1471-2288-11-96.

7.

A nonparametric mixture model for cure rate estimation.

Peng Y, Dear KB.

Biometrics. 2000 Mar;56(1):237-43.

PMID:
10783801
8.
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10.

Assessing the prediction accuracy of cure in the Cox proportional hazards cure model: an application to breast cancer data.

Asano J, Hirakawa A, Hamada C.

Pharm Stat. 2014 Nov-Dec;13(6):357-63. doi: 10.1002/pst.1630.

PMID:
25044997
11.

Review and implementation of cure models based on first hitting times for Wiener processes.

Balka J, Desmond AF, McNicholas PD.

Lifetime Data Anal. 2009 Jun;15(2):147-76. doi: 10.1007/s10985-008-9108-y. Review.

PMID:
19123058
12.

Two-component mixture cure rate model with spline estimated nonparametric components.

Wang L, Du P, Liang H.

Biometrics. 2012 Sep;68(3):726-35. doi: 10.1111/j.1541-0420.2011.01715.x.

PMID:
22169032
13.

Accelerated hazards mixture cure model.

Zhang J, Peng Y.

Lifetime Data Anal. 2009 Dec;15(4):455-67. doi: 10.1007/s10985-009-9126-4.

14.

Mixture cure model with random effects for clustered interval-censored survival data.

Xiang L, Ma X, Yau KK.

Stat Med. 2011 Apr 30;30(9):995-1006. doi: 10.1002/sim.4170.

PMID:
21472759
15.

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
16.

Methodology to predict long-term cancer survival from short-term data using Tobacco Cancer Risk and Absolute Cancer Cure models.

Mould RF, Lederman M, Tai P, Wong JK.

Phys Med Biol. 2002 Nov 21;47(22):3893-924.

PMID:
12476973
17.

Sample size calculation for the proportional hazards cure model.

Wang S, Zhang J, Lu W.

Stat Med. 2012 Dec 20;31(29):3959-71. doi: 10.1002/sim.5465.

18.

Adaptive risk group refinement.

LeBlanc M, Moon J, Crowley J.

Biometrics. 2005 Jun;61(2):370-8.

PMID:
16011683
19.

A general class of Bayesian survival models with zero and nonzero cure fractions.

Yin G, Ibrahim JG.

Biometrics. 2005 Jun;61(2):403-12.

PMID:
16011686
20.

The Mizon-Richard encompassing test for the Cox and Aalen additive hazards models.

Martinussen T, Aalen OO, Scheike TH.

Biometrics. 2008 Mar;64(1):164-71.

PMID:
17608786

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