Many legal cases require decisions about causality, responsibility or blame, and these may be based on statistical data. However, causal inferences from such data are beset by subtle conceptual and practical difficulties, and in general it is, at best, possible to identify the 'probability of causation' as lying between certain empirically informed limits. These limits can be refined and improved if we can obtain additional information, from statistical or scientific data, relating to the internal workings of the causal processes. In this article we review and extend recent work in this area, where additional information may be available on covariate and/or mediating variables
ABSTRACT. According to common judicial standard, judgment in favor of plaintiff should be made if an...
In recent years the search for a proper formal definition of actual causation -- i.e., the relation ...
The rationality of human causal judgments has been the focus of a great deal of recent research. We ...
This article summarizes a conceptual framework and simple mathematical methods of estimating the pro...
This article summarizes a conceptual framework and simple mathematical methods of estimating the pro...
This paper discusses different needs and approaches to establishing "causation" that are relevant in...
This paper derives new bounds for the prob-abilities of causation defined by Pearl (2000), namely, t...
This paper deals with the problem of estimating the probability of causation, that is, the probabili...
Given empirical evidence for the dependence of an outcome variable on an exposure variable, we can t...
Given even the best evidence for the dependence of an outcome vari- able on an exposure variable, w...
This paper summarizes recent advances in causal inference and underscores the paradigmatic shifts th...
This review presents empirical researchers with recent advances in causal inference, and stresses th...
According to common judicial standard, judgment in favor of plainti should be made if and only if i...
This paper deals with the problem of esti- mating the probability that one event was the cause of an...
An individual has been subjected to some exposure and has developed some outcome. Using data on simi...
ABSTRACT. According to common judicial standard, judgment in favor of plaintiff should be made if an...
In recent years the search for a proper formal definition of actual causation -- i.e., the relation ...
The rationality of human causal judgments has been the focus of a great deal of recent research. We ...
This article summarizes a conceptual framework and simple mathematical methods of estimating the pro...
This article summarizes a conceptual framework and simple mathematical methods of estimating the pro...
This paper discusses different needs and approaches to establishing "causation" that are relevant in...
This paper derives new bounds for the prob-abilities of causation defined by Pearl (2000), namely, t...
This paper deals with the problem of estimating the probability of causation, that is, the probabili...
Given empirical evidence for the dependence of an outcome variable on an exposure variable, we can t...
Given even the best evidence for the dependence of an outcome vari- able on an exposure variable, w...
This paper summarizes recent advances in causal inference and underscores the paradigmatic shifts th...
This review presents empirical researchers with recent advances in causal inference, and stresses th...
According to common judicial standard, judgment in favor of plainti should be made if and only if i...
This paper deals with the problem of esti- mating the probability that one event was the cause of an...
An individual has been subjected to some exposure and has developed some outcome. Using data on simi...
ABSTRACT. According to common judicial standard, judgment in favor of plaintiff should be made if an...
In recent years the search for a proper formal definition of actual causation -- i.e., the relation ...
The rationality of human causal judgments has been the focus of a great deal of recent research. We ...