Looking beyond the numbers: Highlighting the challenges of population-based studies in cancer research

Journal of Clinical Oncology

Volumn 34, Issue 19, 2016, Pages 2317-2318

  Blanchard, Pierre ^a,b   Garden, Adam S ^a  

^a UNIVERSITY OF TEXAS MD ANDERSON CANCER CENTER   (United States)

^b INSTITUT GUSTAVE ROUSSY   (France)

Author keywords

[No Author keywords available]

Indexed keywords

CANCER PATIENT; CANCER RESEARCH; CANCER SURVIVAL; HEAD AND NECK CANCER; HUMAN; LETTER; NEOPLASM; POPULATION RESEARCH; PRIORITY JOURNAL; PUBLICATION; RADIATION ONCOLOGIST; TIME TO TREATMENT; METHODOLOGY;

HUMANS; RESEARCH DESIGN;

EID: 84976265457     PISSN: 0732183X     EISSN: 15277755     Source Type: Journal    
DOI: 10.1200/JCO.2015.66.0894     Document Type: Letter

References (5)

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2. Giordano SH, Kuo Y-F, Duan Z, et al: Limits of observational data in determining outcomes from cancer therapy. Cancer 112:2456-2466, 2008
3. Schiff PB, Harrison LB, Strong EW, et al: Impact of the time interval between surgery and postoperative radiation therapy on locoregional control in advanced head and neck cancer. J Surg Oncol 43:203-208, 1990
4. Kang J, Schwartz R, Flickinger J, et al: Machine learning approaches for predicting radiation therapy outcomes: A clinician's perspective. Int J Radiat Oncol Biol Phys 93:1127-1135, 2015
5. Murphy GP: The National Cancer Data Base. CA Cancer J Clin 41:5-6, 1991