Work

Considerations for Observational Research Using Large Data Sets in Radiation Oncology

Year: 2014

Type: review

Source: International Journal of Radiation Oncology*Biology*Physics

DOI: 10.1016/j.ijrobp.2014.05.013

Authors: Reshma Jagsi, Justin E. Bekelman, Aileen Chen, Ronald C. Chen, Karen Hoffman, Ya-Chen Tina Shih, Benjamin D. Smith, James B. Yu

Institutions: University of Michigan, University of Pennsylvania, Harvard University, University of North Carolina at Chapel Hill, The University of Texas MD Anderson Cancer Center, University of Chicago, Yale University

Language: English

Topic: Statistical Methods in Epidemiology

Subfield: Statistics and Probability

Field: Mathematics

Domain: Physical Sciences

SDG: Good health and well-being

Open Access status: green

Funders: American Cancer Society, Varian Medical Systems, University of Chicago, Agency for Healthcare Research and Quality, National Cancer Institute

Awards: MONOCLONAL ANTIBODIES IN CANCER CARE: IS UNDERINSURANCE AN ACCESS BARRIER?, Technology Diffusion & Cost-Effectiveness of Mammography Screening in Older Women, Effectiveness of Radiotherapy for Prostate Cancer, INNOVATIVE METHODS FOR MODELING LONGITUDIANL MEDICAL COSTS

OpenAlex ID: W2097758875

FWCI: 0.878

Cites: 116

Cited by: 72

Related to: 10