The obesity paradox in survival after cancer diagnosis: Tools for evaluation of potential bias

Cancer Epidemiology Biomarkers and Prevention

Volumn 26, Issue 1, 2017, Pages 17-20

  Mayeda, Elizabeth Rose ^a   Maria Glymour, M ^a  

^a UNIVERSITY OF CALIFORNIA   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

ARTICLE; BODY WEIGHT; CANCER DIAGNOSIS; CANCER MORTALITY; CANCER PATIENT; CANCER SURVIVAL; HUMAN; KIDNEY CANCER; OBESITY; PRIORITY JOURNAL; WEIGHT CHANGE; BODY MASS; BODY WEIGHT LOSS; COMPUTER SIMULATION; EPIDEMIOLOGY; FEMALE; MALE; MORTALITY; NEOPLASM; PROGNOSIS; RISK ASSESSMENT; STATISTICAL BIAS; SURVIVAL ANALYSIS;

BIAS; BODY MASS INDEX; COMPUTER SIMULATION; CONFOUNDING FACTORS (EPIDEMIOLOGY); FEMALE; HUMANS; MALE; NEOPLASMS; OBESITY; OVERWEIGHT; PROGNOSIS; RISK ASSESSMENT; SURVIVAL ANALYSIS; WEIGHT LOSS;

EID: 85009060625     PISSN: 10559965     EISSN: None     Source Type: Journal    
DOI: 10.1158/1055-9965.EPI-16-0559     Document Type: Article

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