First published online 15 September 2015.We discuss the problem of random measurement error in two variables when using a cross-lagged panel design. We apply the problem to the question of the causal direction between socio-economic status and subjective health, known also as health selection versus social causation. We plot the bias of the ratio between the social causation and the health selection coefficient as a function of the degree of measurement error in subjective health and socio-economic status for different scenarios which might occur in practice. Using simulated data we give an example of a Bayesian model for the treatment of measurement error that relies on external information about the degree of measurement error
With the increased use of data not originally recorded for research, such as routine care data (or ‘...
True causality is impossible to capture with observational studies. Nevertheless, within the boundar...
UnrestrictedA sizable volume of literature on the studies of poverty dynamics and economic mobility ...
We discuss the problem of random measurement error in two variables when using a cross-lagged panel ...
The authors describe and analyze some issues in understanding causality from panel designs. They foc...
Health diagnosis indicators used as explanatory variables in econometric models often suffer from su...
This paper demonstrates that measurement error can conspire with multicollinearity among explanatory...
Background: It is often thought that random measurement error has a minor effect upon the results of...
BACKGROUND:It is often thought that random measurement error has a minor effect upon the results of ...
Measurement errors cause problems in causal inference. However, except for canonical cases, research...
This paper highlights several areas where graphical techniques can be harnessed to address the probl...
It is often thought that random measurement error has a minor effect upon the results of an epidemio...
his is the first paper in a series of two that synthesizes, compares, and extends methods for causal...
Health diagnosis indicators used as explanatory variables in econometric models often su¤er from sub...
With the increased use of data not originally recorded for research, such as routine care data (or '...
With the increased use of data not originally recorded for research, such as routine care data (or ‘...
True causality is impossible to capture with observational studies. Nevertheless, within the boundar...
UnrestrictedA sizable volume of literature on the studies of poverty dynamics and economic mobility ...
We discuss the problem of random measurement error in two variables when using a cross-lagged panel ...
The authors describe and analyze some issues in understanding causality from panel designs. They foc...
Health diagnosis indicators used as explanatory variables in econometric models often suffer from su...
This paper demonstrates that measurement error can conspire with multicollinearity among explanatory...
Background: It is often thought that random measurement error has a minor effect upon the results of...
BACKGROUND:It is often thought that random measurement error has a minor effect upon the results of ...
Measurement errors cause problems in causal inference. However, except for canonical cases, research...
This paper highlights several areas where graphical techniques can be harnessed to address the probl...
It is often thought that random measurement error has a minor effect upon the results of an epidemio...
his is the first paper in a series of two that synthesizes, compares, and extends methods for causal...
Health diagnosis indicators used as explanatory variables in econometric models often su¤er from sub...
With the increased use of data not originally recorded for research, such as routine care data (or '...
With the increased use of data not originally recorded for research, such as routine care data (or ‘...
True causality is impossible to capture with observational studies. Nevertheless, within the boundar...
UnrestrictedA sizable volume of literature on the studies of poverty dynamics and economic mobility ...