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Success, Cause and Confounder) and the use of variables by NCR (notably the variables Effect, Truth and Confounding). (3 …
Persistent link: https://www.econbiz.de/10005837360
The hypothesis is that Pareto and Kaldor-Hicks Efficiency have an aspect of sustainability in relation to inequality. The analysis finds efficient situations reached increasing inequality as diminishing in the long term effective demand in a larger measure than counterbalancing increases thanks...
Persistent link: https://www.econbiz.de/10008540106
to sources of bias from endogeneity and confounding. They may also be sensitive to the range of sample variance in …
Persistent link: https://www.econbiz.de/10008498009
Confounding is a major issue in observational epidemiological studies. This paper describes two postestimation commands … for assessing confounding effects. One command (confall) displays and plots all possible effect estimates against one of p …
Persistent link: https://www.econbiz.de/10005748328
An important problem in epidemiology and medical research is the estimation of a causal effect of a treatment action at a single point in time on the mean of an outcome within a population defined by strata of some of the observed covariates. Marginal structural models (MSM) are models for...
Persistent link: https://www.econbiz.de/10005751448
The causal effect of a treatment on an outcome is generally mediated by several intermediate variables. Estimation of the component of the causal effect of a treatment that is mediated by a given intermediate variable (the indirect effect of the treatment), and the component that is not mediated...
Persistent link: https://www.econbiz.de/10005751451
Marginal structural models (MSM) provide a powerful tool for estimating the causal effect of a treatment. These models, introduced by Robins, model the marginal distributions of treatment-specific counterfactual outcomes, possibly conditional on a subset of the baseline covariates. Marginal...
Persistent link: https://www.econbiz.de/10005752619
Longitudinal studies in which exposures, confounders, and outcomes are measured repeatedly over time have the potential to allow causal inferences about the effects of exposure on outcome. There is particular interest in estimating the causal effects of medical treatments (or other...
Persistent link: https://www.econbiz.de/10005583299
Persistent link: https://www.econbiz.de/10005613288
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 …
Persistent link: https://www.econbiz.de/10005700049