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Using Path Diagrams as a Structural Equation Modelling Tool
, 1997
"... this paper, we will show how path diagrams can be used to solve a number of important problems in structural equation modelling. There are a number of problems associated with structural equation modeling. These problems include: ..."
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this paper, we will show how path diagrams can be used to solve a number of important problems in structural equation modelling. There are a number of problems associated with structural equation modeling. These problems include:
The Limits of Causal Inference from Observational Data
"... Introduction The following quotation from Rosenbaum (1995) expresses a commonly held view about the problem of potential confounders, and how they can be dealt with. (We will take a "confounder" of treatment and response to be a variable that is a cause of both treatment and response.) A ..."
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Cited by 1 (0 self)
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Introduction The following quotation from Rosenbaum (1995) expresses a commonly held view about the problem of potential confounders, and how they can be dealt with. (We will take a "confounder" of treatment and response to be a variable that is a cause of both treatment and response.) An observational study is an empirical investigation of treatments, policies, or exposures and the effect they cause, but it differs from an experiment in that the investigator cannot control the assignment of treatments to subjects. ... Analytical adjustments are widely used in observational studies to remove overt biases, that is, differences between treated and control groups, present before treatment, that are visible in the data at hand. ... If treated and control groups differed before treatment in ways not recorded, there would be a hidden bias. ... sensitivity analyses ... ask how the findings of a study might be altered by hidden biases of various magnitudes. It turns out that
1Using Path Diagrams as a Structural Equation Modelling Tool
"... Linear structural equation models (SEMs) are widely used in sociology, econometrics, biology, and other sciences. A SEM (without free parameters) has two parts: a probability distribution (in the Normal case specified by a set of linear structural equations and a covariance matrix among the “error ” ..."
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Linear structural equation models (SEMs) are widely used in sociology, econometrics, biology, and other sciences. A SEM (without free parameters) has two parts: a probability distribution (in the Normal case specified by a set of linear structural equations and a covariance matrix among the “error ” or “disturbance ” terms), and an associated path