Panageas KS - Search Results

1

Implications of Selection Bias Due to Delayed Study Entry in Clinical Genomic Studies.

Brown S, Lavery JA, Shen R, Martin AS, Kehl KL, Sweeney SM, Lepisto EM, Rizvi H, McCarthy CG, Schultz N, Warner JL, Park BH, Bedard PL, Riely GJ, Schrag D, Panageas KS; AACR Project GENIE Consortium. Brown S, et al. Among authors: panageas ks. JAMA Oncol. 2022 Feb 1;8(2):287-291. doi: 10.1001/jamaoncol.2021.5153. JAMA Oncol. 2022. PMID: 34734967 Free PMC article.

2

Hospital and surgeon procedure volume as predictors of outcome following rectal cancer resection.

Schrag D, Panageas KS, Riedel E, Cramer LD, Guillem JG, Bach PB, Begg CB. Schrag D, et al. Among authors: panageas ks. Ann Surg. 2002 Nov;236(5):583-92. doi: 10.1097/00000658-200211000-00008. Ann Surg. 2002. PMID: 12409664 Free PMC article.

3

Surgeon volume compared to hospital volume as a predictor of outcome following primary colon cancer resection.

Schrag D, Panageas KS, Riedel E, Hsieh L, Bach PB, Guillem JG, Begg CB. Schrag D, et al. Among authors: panageas ks. J Surg Oncol. 2003 Jun;83(2):68-78; discussion 78-9. doi: 10.1002/jso.10244. J Surg Oncol. 2003. PMID: 12772198

4

The effect of clustering of outcomes on the association of procedure volume and surgical outcomes.

Panageas KS, Schrag D, Riedel E, Bach PB, Begg CB. Panageas KS, et al. Ann Intern Med. 2003 Oct 21;139(8):658-65. doi: 10.7326/0003-4819-139-8-200310210-00009. Ann Intern Med. 2003. PMID: 14568854

5

Associations between hospital and surgeon procedure volumes and patient outcomes after ovarian cancer resection.

Schrag D, Earle C, Xu F, Panageas KS, Yabroff KR, Bristow RE, Trimble EL, Warren JL. Schrag D, et al. Among authors: panageas ks. J Natl Cancer Inst. 2006 Feb 1;98(3):163-71. doi: 10.1093/jnci/djj018. J Natl Cancer Inst. 2006. PMID: 16449676

6

Adjuvant chemotherapy and survival in older women with hormone receptor-negative breast cancer: assessing outcome in a population-based, observational cohort.

Elkin EB, Hurria A, Mitra N, Schrag D, Panageas KS. Elkin EB, et al. Among authors: panageas ks. J Clin Oncol. 2006 Jun 20;24(18):2757-64. doi: 10.1200/JCO.2005.03.6053. J Clin Oncol. 2006. PMID: 16782916

7

Properties of analysis methods that account for clustering in volume-outcome studies when the primary predictor is cluster size.

Panageas KS, Schrag D, Russell Localio A, Venkatraman ES, Begg CB. Panageas KS, et al. Stat Med. 2007 Apr 30;26(9):2017-35. doi: 10.1002/sim.2657. Stat Med. 2007. PMID: 17016864

8

When you look matters: the effect of assessment schedule on progression-free survival.

Panageas KS, Ben-Porat L, Dickler MN, Chapman PB, Schrag D. Panageas KS, et al. J Natl Cancer Inst. 2007 Mar 21;99(6):428-32. doi: 10.1093/jnci/djk091. J Natl Cancer Inst. 2007. PMID: 17374832

9

How to build and interpret a nomogram for cancer prognosis.

Iasonos A, Schrag D, Raj GV, Panageas KS. Iasonos A, et al. Among authors: panageas ks. J Clin Oncol. 2008 Mar 10;26(8):1364-70. doi: 10.1200/JCO.2007.12.9791. J Clin Oncol. 2008. PMID: 18323559 Review.

10

Analytical strategies for characterizing chemotherapy diffusion with patient-level population-based data.

Sima CS, Panageas KS, Heller G, Schrag D. Sima CS, et al. Among authors: panageas ks. Appl Health Econ Health Policy. 2010;8(1):37-51. doi: 10.1007/BF03256164. Appl Health Econ Health Policy. 2010. PMID: 20038192

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