Shahar responds to "causal diagrams and measurement bias"

American Journal of Epidemiology

Volumn 170, Issue 8, 2009, Pages 963-964

  Shahar, Eyal ^a  

^a UNIVERSITY OF ARIZONA   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

ADIPOSE TISSUE; BODY FAT; BODY HEIGHT; BODY MASS; BODY WEIGHT; DATA ANALYSIS; MEASUREMENT ERROR; NOTE;

EID: 70349705899     PISSN: 00029262     EISSN: 14766256     Source Type: Journal    
DOI: 10.1093/aje/kwp289     Document Type: Note

References (7)

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2. Shahar E. Causal diagrams for encoding and evaluation of information bias. J Eval Clin Pract. 2009;15(3):436-440.
3. Hernán MA, Robins JM. A structural approach to observation bias [abstract]. Am J Epidemiol. 2005;161(suppl):S100.
4. Cole SR, Frangakis CE. The consistency statement in causal inference: A definition or an assumption? Epidemiology. 2009; 20(1):3-5.
5. Hernán MA, Taubman SL. Does obesity shorten life? The importance of well-defined interventions to answer causal questions. Int J Obes (Lond). 2008;32(suppl 3):S8-S14.
6. Shahar E. The association of body mass index with health outcomes: causal, inconsistent, or confounded? Am J Epidemiol. 2009;170(8):957-958.
7. Kronmal RA. Spurious correlation and the fallacy of the ratio standard revisited. J R Stat Soc Ser A. 1993;156(3):379-392.