A method to detect an unknown confounder: Something from nothing?

Journal of Evaluation in Clinical Practice

Volumn 18, Issue 3, 2012, Pages 702-703

  Shahar, Eyal ^a  

^a UNIVERSITY OF ARIZONA   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

CONFOUNDING VARIABLE; EPIDEMIOLOGY; METHODOLOGY; NOTE; PRIORITY JOURNAL; THEORY;

CAUSALITY; CONFOUNDING FACTORS (EPIDEMIOLOGY); HUMANS;

EID: 84860882894     PISSN: 13561294     EISSN: 13652753     Source Type: Journal    
DOI: 10.1111/j.1365-2753.2011.01652.x     Document Type: Note

References (9)

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3. Flanders, W. D., Klein, M., Darrow, L. A., Strickland, M. J., Sarnat, S. E., Sarnat, J. A., Waller, L. A., Winquist, A., &, Tolbert, P., (2011) A method for detection of residual confounding in time-series and other observational studies. Epidemiology, 22, 59-67.
4. Pearl, J., (1995) Causal diagrams for empirical research. Biometrika, 82, 669-688.
5. Hernan, M. A., Hernández-Díaz, S., &, Robins, J. M., (2004) A structural approach to selection bias. Epidemiology, 15, 615-625. (Pubitemid 40416916)
6. Shahar, E., (2009) Causal diagrams for encoding and evaluation of information bias. Journal of Evaluation in Clinical Practice, 15, 436-440.
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8. Shahar, E., &, Shahar, D. J., (2010) Causal diagrams and change variables. Journal of Evaluation in Clinical Practice, Sep 12, 2010. [Epub ahead of print].
9. Shahar, E., &, Shahar, D. J., (2010) Causal diagrams, information bias, and thought bias. Pragmatic and Observational Research, 1, 33-47.