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Results: 1 to 20 of 85

1.

Analysis of progression-free survival data using a discrete time survival model that incorporates measurements with and without diagnostic error.

Hunsberger S, Albert PS, Dodd L.

Clin Trials. 2010 Dec;7(6):634-42. doi: 10.1177/1740774510384887. Epub 2010 Nov 25.

PMID:
21109582
[PubMed - indexed for MEDLINE]
2.

Sensitivity analysis of progression-free survival with dependent withdrawal.

Ruan PK, Gray RJ.

Stat Med. 2008 Apr 15;27(8):1180-98.

PMID:
17768718
[PubMed - indexed for MEDLINE]
3.

Efron-type measures of prediction error for survival analysis.

Gerds TA, Schumacher M.

Biometrics. 2007 Dec;63(4):1283-7. Epub 2007 Jul 25.

PMID:
17651459
[PubMed - indexed for MEDLINE]
4.

Joint modeling of progression-free survival and death in advanced cancer clinical trials.

Dejardin D, Lesaffre E, Verbeke G.

Stat Med. 2010 Jul 20;29(16):1724-34. doi: 10.1002/sim.3918.

PMID:
20572123
[PubMed - indexed for MEDLINE]
5.

Evaluation of discordance measures in oncology studies with blinded independent central review of progression-free survival using an observational error model.

Mannino FV, Amit O, Lahiri S.

J Biopharm Stat. 2013;23(5):971-85. doi: 10.1080/10543406.2013.813516.

PMID:
23957510
[PubMed - indexed for MEDLINE]
6.

Are onsite image evaluations the solution or are we trading one problem for another?

Raunig DL.

J Clin Oncol. 2009 Dec 10;27(35):e263-4; author reply e265. doi: 10.1200/JCO.2009.25.3716. Epub 2009 Nov 9. No abstract available.

PMID:
19901131
[PubMed - indexed for MEDLINE]
Free Article
8.

Designing phase II studies in cancer with time-to-event endpoints.

Owzar K, Jung SH.

Clin Trials. 2008;5(3):209-21. doi: 10.1177/1740774508091748.

PMID:
18559409
[PubMed - indexed for MEDLINE]
9.

Role of sensitivity analyses in assessing progression-free survival in late-stage oncology trials.

Bhattacharya S, Fyfe G, Gray RJ, Sargent DJ.

J Clin Oncol. 2009 Dec 10;27(35):5958-64. doi: 10.1200/JCO.2009.22.4329. Epub 2009 Oct 13.

PMID:
19826121
[PubMed - indexed for MEDLINE]
Free Article
10.
11.

Effects of cancer drugs on survival: often poorly evaluated.

[No authors listed]

Prescrire Int. 2009 Aug;18(102):180-3.

PMID:
19746577
[PubMed - indexed for MEDLINE]
12.

Recommendations for the assessment of progression in randomised cancer treatment trials.

Dancey JE, Dodd LE, Ford R, Kaplan R, Mooney M, Rubinstein L, Schwartz LH, Shankar L, Therasse P.

Eur J Cancer. 2009 Jan;45(2):281-9. doi: 10.1016/j.ejca.2008.10.042.

PMID:
19097775
[PubMed - indexed for MEDLINE]
13.

Regression calibration in semiparametric accelerated failure time models.

Yu M, Nan B.

Biometrics. 2010 Jun;66(2):405-14. doi: 10.1111/j.1541-0420.2009.01295.x. Epub 2009 Jul 23.

PMID:
19645700
[PubMed - indexed for MEDLINE]
14.

Survival ratio plots with permutation envelopes in survival data problems.

Newell J, Kay JW, Aitchison TC.

Comput Biol Med. 2006 May;36(5):526-41. Epub 2005 Jul 11.

PMID:
16005862
[PubMed - indexed for MEDLINE]
15.

Basic concepts and methods for joint models of longitudinal and survival data.

Ibrahim JG, Chu H, Chen LM.

J Clin Oncol. 2010 Jun 1;28(16):2796-801. doi: 10.1200/JCO.2009.25.0654. Epub 2010 May 3. Review.

PMID:
20439643
[PubMed - indexed for MEDLINE]
Free Article
16.

Meta-analysis of diagnostic tests with imperfect reference standards.

Walter SD, Irwig L, Glasziou PP.

J Clin Epidemiol. 1999 Oct;52(10):943-51.

PMID:
10513757
[PubMed - indexed for MEDLINE]
17.
18.

The Influence of handling censored data on estimating progression-free survival in cancer clinical trials (JCOG9913-A).

Niimi M, Yamamoto S, Fukuda H, Ishizuka N, Akaza H.

Jpn J Clin Oncol. 2002 Jan;32(1):19-26.

PMID:
11932358
[PubMed - indexed for MEDLINE]
Free Article
19.

Multiple-imputation-based residuals and diagnostic plots for joint models of longitudinal and survival outcomes.

Rizopoulos D, Verbeke G, Molenberghs G.

Biometrics. 2010 Mar;66(1):20-9. doi: 10.1111/j.1541-0420.2009.01273.x. Epub 2009 May 18.

PMID:
19459832
[PubMed - indexed for MEDLINE]
20.

Analysis of misclassified correlated binary data using a multivariate probit model when covariates are subject to measurement error.

Roy S, Banerjee T.

Biom J. 2009 Jun;51(3):420-32. doi: 10.1002/bimj.200800127.

PMID:
19588453
[PubMed - indexed for MEDLINE]

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