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Results: 1 to 20 of 35

Cited In for PubMed (Select 19114701)

1.

Assessing Colorectal Cancer Screening Behaviors and Knowledge among At-Risk Hispanics in Southern New Mexico.

Sanchez JI, Palacios R, Thompson B, Martinez V, O'Connell MA.

J Cancer Ther. 2013 Jul;4(6B):15-25.

2.

Urinary PGE-M in colorectal cancer: predicting more than risk?

Colbert Maresso K, Vilar E, Hawk ET.

Cancer Prev Res (Phila). 2014 Oct;7(10):969-72. doi: 10.1158/1940-6207.CAPR-14-0215. Epub 2014 Jul 28.

PMID:
25070664
3.

Estimating Risk with Time-to-Event Data: An Application to the Women's Health Initiative.

Liu D, Zheng Y, Prentice RL, Hsu L.

J Am Stat Assoc. 2014 Jun 1;109(506):514-524.

PMID:
25018574
4.

Should colorectal cancer screening be considered in elderly persons without previous screening? A cost-effectiveness analysis.

van Hees F, Habbema JD, Meester RG, Lansdorp-Vogelaar I, van Ballegooijen M, Zauber AG.

Ann Intern Med. 2014 Jun 3;160(11):750-9. doi: 10.7326/M13-2263.

5.

Cost-effectiveness of family history-based colorectal cancer screening in Australia.

Ouakrim DA, Boussioutas A, Lockett T, Hopper JL, Jenkins MA.

BMC Cancer. 2014 Apr 16;14:261. doi: 10.1186/1471-2407-14-261.

6.

Efficacy of an educational intervention on family physicians' risk assessment and management of colorectal cancer.

Carroll JC, Blaine S, Permaul J, Dicks E, Warner E, Esplen MJ, Rothenmund H, Semotiuk K, Worrall G, McLaughlin J.

J Community Genet. 2014 Oct;5(4):303-11. doi: 10.1007/s12687-014-0185-1. Epub 2014 Apr 9.

7.

Cigarette smoking, physical activity, and alcohol consumption as predictors of cancer incidence among women at high risk of breast cancer in the NSABP P-1 trial.

Land SR, Liu Q, Wickerham DL, Costantino JP, Ganz PA.

Cancer Epidemiol Biomarkers Prev. 2014 May;23(5):823-32. doi: 10.1158/1055-9965.EPI-13-1105-T. Epub 2014 Feb 25.

8.

Risk prediction model for colorectal cancer: National Health Insurance Corporation study, Korea.

Shin A, Joo J, Yang HR, Bak J, Park Y, Kim J, Oh JH, Nam BH.

PLoS One. 2014 Feb 12;9(2):e88079. doi: 10.1371/journal.pone.0088079. eCollection 2014.

9.

Colorectal cancer predicted risk online (CRC-PRO) calculator using data from the multi-ethnic cohort study.

Wells BJ, Kattan MW, Cooper GS, Jackson L, Koroukian S.

J Am Board Fam Med. 2014 Jan-Feb;27(1):42-55. doi: 10.3122/jabfm.2014.01.130040.

10.

A score to estimate the likelihood of detecting advanced colorectal neoplasia at colonoscopy.

Kaminski MF, Polkowski M, Kraszewska E, Rupinski M, Butruk E, Regula J.

Gut. 2014 Jul;63(7):1112-9. doi: 10.1136/gutjnl-2013-304965. Epub 2014 Jan 2.

11.

Korean risk assessment model for breast cancer risk prediction.

Park B, Ma SH, Shin A, Chang MC, Choi JY, Kim S, Han W, Noh DY, Ahn SH, Kang D, Yoo KY, Park SK.

PLoS One. 2013 Oct 25;8(10):e76736. doi: 10.1371/journal.pone.0076736. eCollection 2013.

12.

Nano-architectural alterations in mucus layer fecal colonocytes in field carcinogenesis: potential for screening.

Roy HK, Damania DP, DelaCruz M, Kunte DP, Subramanian H, Crawford SE, Tiwari AK, Wali RK, Backman V.

Cancer Prev Res (Phila). 2013 Oct;6(10):1111-9. doi: 10.1158/1940-6207.CAPR-13-0138. Epub 2013 Aug 27.

13.

Advanced colorectal neoplasia risk stratification by penalized logistic regression.

Lin Y, Yu M, Wang S, Chappell R, Imperiale TF.

Stat Methods Med Res. 2013 Jul 30. [Epub ahead of print]

14.

Providing access to risk prediction tools via the HL7 XML-formatted risk web service.

Chipman J, Drohan B, Blackford A, Parmigiani G, Hughes K, Bosinoff P.

Breast Cancer Res Treat. 2013 Jul;140(1):187-93. doi: 10.1007/s10549-013-2605-z. Epub 2013 Jun 23.

15.

Evidence-based Guidelines for Precision Risk Stratification-Based Screening (PRSBS) for Colorectal Cancer: Lessons learned from the US Armed Forces: Consensus and Future Directions.

Avital I, Langan RC, Summers TA, Steele SR, Waldman SA, Backman V, Yee J, Nissan A, Young P, Womeldorph C, Mancusco P, Mueller R, Noto K, Grundfest W, Bilchik AJ, Protic M, Daumer M, Eberhardt J, Man YG, BrĂ¼cher BL, Stojadinovic A.

J Cancer. 2013;4(3):172-92. doi: 10.7150/jca.5834. Epub 2013 Mar 1.

16.

Prediction of Colorectal Cancer Risk Using a Genetic Risk Score: The Korean Cancer Prevention Study-II (KCPS-II).

Jo J, Nam CM, Sull JW, Yun JE, Kim SY, Lee SJ, Kim YN, Park EJ, Kimm H, Jee SH.

Genomics Inform. 2012 Sep;10(3):175-83. doi: 10.5808/GI.2012.10.3.175. Epub 2012 Sep 28.

17.

Extensions of criteria for evaluating risk prediction models for public health applications.

Pfeiffer RM.

Biostatistics. 2013 Apr;14(2):366-81. doi: 10.1093/biostatistics/kxs037. Epub 2012 Oct 19.

18.

Spectroscopic applications in gastrointestinal endoscopy.

Roy HK, Backman V.

Clin Gastroenterol Hepatol. 2012 Dec;10(12):1335-41. doi: 10.1016/j.cgh.2012.10.002. Epub 2012 Oct 8. Review.

19.

A Perturbation Method for Inference on Regularized Regression Estimates.

Minnier J, Tian L, Cai T.

J Am Stat Assoc. 2011 Jan 1;106(496):1371-1382. Epub 2012 Jan 24.

20.

The Your Disease Risk Index for colorectal cancer is an inaccurate risk stratification tool for advanced colorectal neoplasia at screening colonoscopy.

Schroy PC 3rd, Coe AM, Mylvaganam SR, Ahn LB, Lydotes MA, Robinson PA, Davis JT, Chen CA, Ashba J, Atkinson ML, Colditz GA, Heeren TC.

Cancer Prev Res (Phila). 2012 Aug;5(8):1044-52. doi: 10.1158/1940-6207.CAPR-12-0014. Epub 2012 Jun 11.

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