Selection bias in cohorts of cases

Preventive Medicine

Volumn 57, Issue 3, 2013, Pages 247-248

  Schooling, C Mary ^a,b   Cowling, Benjamin J ^a   Jones, Heidi E ^b  

^a UNIVERSITY OF HONG KONG   (Hong Kong)

^b CITY UNIVERSITY OF NEW YORK   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

BODY MASS; CARDIOVASCULAR DISEASE; CARDIOVASCULAR MORTALITY; CARDIOVASCULAR RISK; HUMAN; LETTER; MORBIDITY; OBESITY; PRIORITY JOURNAL; PROGNOSIS; STUDY DESIGN;

CARDIOVASCULAR DISEASE; OBESITY; STUDY DESIGN;

CARDIOVASCULAR DISEASES; FEMALE; HUMANS; MALE; OVERWEIGHT;

EID: 84881613310     PISSN: 00917435     EISSN: 10960260     Source Type: Journal    
DOI: 10.1016/j.ypmed.2013.05.025     Document Type: Letter

References (5)

1. Dixon J.B., Lambert G.W. The obesity paradox-a reality that requires explanation and clinical interpretation. Atherosclerosis 2013, 226(1):47-48.
2. Hamer M., Stamatakis E. Overweight and obese cardiac patients have better prognosis despite reporting worse perceived health and more conventional risk factors. Prev. Med. 2013, 57(1):12-16.
3. Hernan M.A., Hernandez-Diaz S., Robins J.M. A structural approach to selection bias. Epidemiology 2004, 15(5):615-625.
4. Masters R.K., Powers D.A., Link B.G. Obesity and US mortality risk over the adult life course. Am. J. Epidemiol. 2013, 177(5):431-442.
5. Prasad V., Jorgenson J., Ioannidis J.P., Cifu A. Observational studies often make clinical practice recommendations: an empirical evaluation of authors' attitudes. J. Clin. Epidemiol. 2013, 66(4):361-366.