This paper provides a simplified method for evaluating the evidence in favour of a causal claim. It analyses the evidence bearing upon such a claim in terms of two questions: Do the putative cause and effect covary, and can alternative non-causal explanations of the relationship be ruled out? The different research designs for assessing covariation are outlined, as are the ways in which these designs permit a researcher to decide between alternative explanations of the relationship
This paper reviews recent advances in the foundations of causal inference and introduces a systemati...
International audienceWhen dealing with a cause (e.g., looking for something which could explain cer...
Despite the increase in studies investigating people’s explana- tory preferences in the domains of p...
Causal reasoning is an important and complex process, in which individuals have multiple sources of...
Economic theory is replete with causal hypotheses that are scarcely tested because economists are ge...
When evaluating the efficacy of causal candidates, peoples' judgments may be influenced by both the ...
This paper summarizes recent advances in causal inference and underscores the paradigmatic shifts th...
Nearly every theory of causal induction assumes that the existence and strength of causal relations ...
Experiments have always been the way to study what the effect is of interventions. Causal inference ...
Aim: A statistical methodology based analysis of causal relationships and chains of causation in lif...
Aim: A detailed and sophisticated analysis of causal relationships and chains of causation in medici...
Background: Causal inference based on logically consistent mathematical methods requires suitable, h...
This paper reviews recent advances in the foundations of causal inference and introduces a systemati...
Two opposing views have been proposed to explain how people distinguish genu-ine causes from spuriou...
The manipulationist account of causation provides a conceptual analysis of cause-effect relationship...
This paper reviews recent advances in the foundations of causal inference and introduces a systemati...
International audienceWhen dealing with a cause (e.g., looking for something which could explain cer...
Despite the increase in studies investigating people’s explana- tory preferences in the domains of p...
Causal reasoning is an important and complex process, in which individuals have multiple sources of...
Economic theory is replete with causal hypotheses that are scarcely tested because economists are ge...
When evaluating the efficacy of causal candidates, peoples' judgments may be influenced by both the ...
This paper summarizes recent advances in causal inference and underscores the paradigmatic shifts th...
Nearly every theory of causal induction assumes that the existence and strength of causal relations ...
Experiments have always been the way to study what the effect is of interventions. Causal inference ...
Aim: A statistical methodology based analysis of causal relationships and chains of causation in lif...
Aim: A detailed and sophisticated analysis of causal relationships and chains of causation in medici...
Background: Causal inference based on logically consistent mathematical methods requires suitable, h...
This paper reviews recent advances in the foundations of causal inference and introduces a systemati...
Two opposing views have been proposed to explain how people distinguish genu-ine causes from spuriou...
The manipulationist account of causation provides a conceptual analysis of cause-effect relationship...
This paper reviews recent advances in the foundations of causal inference and introduces a systemati...
International audienceWhen dealing with a cause (e.g., looking for something which could explain cer...
Despite the increase in studies investigating people’s explana- tory preferences in the domains of p...