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Items: 1 to 20 of 68

1.

On the Existence of Constant Accrual Rates in Clinical Trials and Direction for Future Research.

Gajewski BJ, Simon SD, Carlson SE.

Int J Stat Probab. 2012 Nov 1;1(2):p43.

2.

Stochastic modeling and prediction for accrual in clinical trials.

Zhang X, Long Q.

Stat Med. 2010 Mar 15;29(6):649-58. doi: 10.1002/sim.3847.

PMID:
20082363
3.

Predicting accrual in clinical trials with Bayesian posterior predictive distributions.

Gajewski BJ, Simon SD, Carlson SE.

Stat Med. 2008 Jun 15;27(13):2328-40.

PMID:
17979152
4.

Modeling and prediction of subject accrual and event times in clinical trials: a systematic review.

Zhang X, Long Q.

Clin Trials. 2012 Dec;9(6):681-8. doi: 10.1177/1740774512447996. Epub 2012 Jun 6. Review.

PMID:
22674642
5.

Bayesian modeling and prediction of accrual in multi-regional clinical trials.

Deng Y, Zhang X, Long Q.

Stat Methods Med Res. 2014 Nov 3. pii: 0962280214557581. [Epub ahead of print]

6.

Modeling and validating Bayesian accrual models on clinical data and simulations using adaptive priors.

Jiang Y, Simon S, Mayo MS, Gajewski BJ.

Stat Med. 2015 Feb 20;34(4):613-29. doi: 10.1002/sim.6359. Epub 2014 Nov 6.

7.

A method for predicting accrual, cost, and paper flow in clinical trials.

Piantadosi S, Patterson B.

Control Clin Trials. 1987 Sep;8(3):202-15.

PMID:
3665522
8.

Accrual experience of National Cancer Institute Cooperative Group phase III trials activated from 2000 to 2007.

Korn EL, Freidlin B, Mooney M, Abrams JS.

J Clin Oncol. 2010 Dec 10;28(35):5197-201. doi: 10.1200/JCO.2010.31.5382. Epub 2010 Nov 8.

9.

Duration of accrual and follow-up for two-stage clinical trials.

Case LD, Morgan TM.

Lifetime Data Anal. 2001 Mar;7(1):21-37.

PMID:
11280845
10.

A report on accrual rates for elderly and minority-ethnicity cancer patients to clinical trials of the American College of Surgeons Oncology Group.

Newman LA, Hurd T, Leitch M, Kuerer HM, Diehl K, Lucci A, Giuliano A, Hunt KK, Putnam W, Wells SA.

J Am Coll Surg. 2004 Oct;199(4):644-51.

PMID:
15454152
11.

Bayesian accrual prediction for interim review of clinical studies: open source R package and smartphone application.

Jiang Y, Guarino P, Ma S, Simon S, Mayo MS, Raghavan R, Gajewski BJ.

Trials. 2016 Jul 22;17(1):336. doi: 10.1186/s13063-016-1457-3.

12.

Predicting analysis time in event-driven clinical trials with event-reporting lag.

Wang J, Ke C, Jiang Q, Zhang C, Snapinn S.

Stat Med. 2012 Apr 30;31(9):801-11. doi: 10.1002/sim.4506. Epub 2012 Feb 17.

PMID:
22344853
13.

Beware the Medical-Industrial Complex.

Stevens CW, Glatstein E.

Oncologist. 1996;1(4):IV-V.

PMID:
10388005
14.

Predicting the performance of a strategic alliance: an analysis of the Community Clinical Oncology Program.

Kaluzny AD, Lacey LM, Warnecke R, Hynes DM, Morrissey J, Ford L, Sondik E.

Health Serv Res. 1993 Jun;28(2):159-82.

15.

Improving accrual of older persons to cancer treatment trials: a randomized trial comparing an educational intervention with standard information: CALGB 360001.

Kimmick GG, Peterson BL, Kornblith AB, Mandelblatt J, Johnson JL, Wheeler J, Heinze R, Cohen HJ, Muss HB.

J Clin Oncol. 2005 Apr 1;23(10):2201-7.

16.

Clinical and cost-effectiveness of newer immunosuppressive regimens in renal transplantation: a systematic review and modelling study.

Woodroffe R, Yao GL, Meads C, Bayliss S, Ready A, Raftery J, Taylor RS.

Health Technol Assess. 2005 May;9(21):1-179, iii-iv. Review.

17.

Intravenous magnesium sulphate and sotalol for prevention of atrial fibrillation after coronary artery bypass surgery: a systematic review and economic evaluation.

Shepherd J, Jones J, Frampton GK, Tanajewski L, Turner D, Price A.

Health Technol Assess. 2008 Jun;12(28):iii-iv, ix-95. Review.

18.

Clinical Trials: A Congressional Focus of Need.

Coltman CA Jr.

Oncologist. 1997;2(4):VII-VIII.

PMID:
10388059
19.

Three-component cure rate model for nonproportional hazards alternative in the design of randomized clinical trials.

Kim HT, Gray R.

Clin Trials. 2012 Apr;9(2):155-63. doi: 10.1177/1740774512436614. Epub 2012 Feb 21.

20.

Overview of the epidemiology methods and applications: strengths and limitations of observational study designs.

Colditz GA.

Crit Rev Food Sci Nutr. 2010;50 Suppl 1:10-2. doi: 10.1080/10408398.2010.526838.

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