Assessing Causal Inference

Assessing Causal Inference

Evaluating the causality of an exposure–outcome association requires the following:

1. An understanding of the body of literature on the topic
2. The application of a causal inference model

The relationship between smoking and lung cancer occurrence is considered causal, in part because multiple studies have shown that it meets all of the Bradford Hill Criteria of causality (although that may not be the only causal model that fits the data).

Choose an epidemiologic association you believe may be causal. Identify three or more epidemiological journal articles about the association; one of the selected articles must be a review article.

Then, using the Learning Resources, consider the following three models of causality: the Bradford Hill Criteria, Rothman’s Sufficient Component Cause Model, and the consideration of Counterfactuals.

Post an identification of the causal inference model that you believe is the best fit for the epidemiological association you chose. Explain how that model addresses causal inference. Provide specific examples from the epidemiological research you selected. Finally, explain which criteria from the model might be missing empirical evidence that would strengthen your conclusion. Justify your explanations and choice of model using the Learning Resources and the articles you selected.

Discussion MUST be at least 700 words

…………………..Answer Preview……………………

Casual inference is the procedure of making a conclusion about a spontaneous relationship formed by the conditions of the event of a consequence. The major distinction between casual inference and inference of association is that the first mentioned examines the reaction of the consequence element when the source is altered (Rothman and Greenland, 2005).  For epidemiologists to come up with casual inferences, they have to scrutinize associations and evaluate their certainty and whether….

APA

945 words