This paper deals both with the issues of confounding and of control, as the definition of a confounding factor is far from universal and there exist different methodological approaches, ex ante and ex post, for controlling for a confounding factor. In the first section the paper compares some definitions of a confounder given in the demographic and epidemiological literature with the definition of a confounder as a common cause of both treatment/exposure and response/outcome. In the second section, the paper examines confounder control from the data collection viewpoint and recalls the stratification approach for ex post control. The paper finally raises the issue of controlling for a common cause or for intervening variables, focusing in p...
The best available evidence for decision-making on interventions will often come from observational ...
Nonexperimental studies are increasingly used to investigate the safety and effectiveness of medical...
Confounding in epidemiology, and the limits of standard methods of control for an imperfectly measur...
This paper deals both with the issues of confounding and of control, as the definition of a confound...
Confounding variables are variables that the researcher failed to control, or eliminate, damaging th...
As confounding obscures the ‘real’ effect of an exposure on outcome, investigators performing etiolo...
The causal inference literature has provided a clear formal definition of confounding expressed in t...
AbstractA statistically coherent view of confounding motivated by the over controversy over the prop...
In confounding, the effect of the exposure of interest is mixed with the effect of another variable....
AbstractConfounding is a major concern in epidemiology. Despite its significance, the different noti...
In this thesis, we explore causal inference in observational studies with particular emphasis on the...
The paper addresses a formal definition of a confounder based on the qualitative definition that is ...
In a 1993 paper (Am J Epidemiol. 1993;137(1):1–8), Weinberg considered whether a variable that is as...
In research addressing causal questions about relations between exposures and outcomes, confounding ...
The best available evidence for decision-making on interventions will often come from observational ...
Nonexperimental studies are increasingly used to investigate the safety and effectiveness of medical...
Confounding in epidemiology, and the limits of standard methods of control for an imperfectly measur...
This paper deals both with the issues of confounding and of control, as the definition of a confound...
Confounding variables are variables that the researcher failed to control, or eliminate, damaging th...
As confounding obscures the ‘real’ effect of an exposure on outcome, investigators performing etiolo...
The causal inference literature has provided a clear formal definition of confounding expressed in t...
AbstractA statistically coherent view of confounding motivated by the over controversy over the prop...
In confounding, the effect of the exposure of interest is mixed with the effect of another variable....
AbstractConfounding is a major concern in epidemiology. Despite its significance, the different noti...
In this thesis, we explore causal inference in observational studies with particular emphasis on the...
The paper addresses a formal definition of a confounder based on the qualitative definition that is ...
In a 1993 paper (Am J Epidemiol. 1993;137(1):1–8), Weinberg considered whether a variable that is as...
In research addressing causal questions about relations between exposures and outcomes, confounding ...
The best available evidence for decision-making on interventions will often come from observational ...
Nonexperimental studies are increasingly used to investigate the safety and effectiveness of medical...
Confounding in epidemiology, and the limits of standard methods of control for an imperfectly measur...