Source : https://onlinecourses.science.psu.edu/stat507/node/34
Source : http://ocw.jhsph.edu/courses/fundepiii/PDFs/Lecture18.pdf
Source : http://jech.bmj.com/content/58/8/635.full
- Correspondence to: Professor M Delgado-Rodríguez Division of Preventive Medicine and Public Health, Building B-3, University of Jaen, 23071-Jaén, Spain; email@example.com
- Accepted 15 November 2003
The concept of bias is the lack of internal validity or incorrect assessment of the association between an exposure and an effect in the target population in which the statistic estimated has an expectation that does not equal the true value. Biases can be classified by the research stage in which they occur or by the direction of change in a estimate. The most important biases are those produced in the definition and selection of the study population, data collection, and the association between different determinants of an effect in the population. A definition of the most common biases occurring in these stages is given.
Source : http://ije.oxfordjournals.org/content/18/1/269.short
Greenland S (Division of Epidemiology, UCLA School of Public Health, Los Angeles, California 90024, USA) and Morgenstern H. Ecological bias, confounding, and effect modification. International Journal of Epidemiology 1989, 18: 269–274.
Ecological bias is sometimes attributed to confounding by the group variable (ie the variable used to define the ecological groups), or to risk factors associated with the group variable. We show that the group variable need not be a confounder (in the strict epidemiological sense) for ecological bias to occur: effect modification can lead to profound ecological bias, whether or not the group variable or the effect modifier are independent risk factors. Furthermore, an extraneous risk factor need not be associated with the study variable at the individual level in order to produce ecological bias. Thus the conditions for the production of ecological bias by a covariate are much broader than the conditions for the production of individual-level confounding by a covariate. We also show that standardization or ecological control of variables responsible for ecological bias are generally insufficient to remove such bias.