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\nCausality. Why you shouldn't use Bradford Hill criteria!\n

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\n\nPublisher:\n\nGlobal Health with Greg Martin\n\n\n
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\nDetermining causality isn't easy. Correlation doesn't mean causation. And yet where we see a strong correlation between an exposure and an outcome, we need to be able to determine if there is a cause and effect relationship. Public...\nDetermining causality isn't easy. Correlation doesn't mean causation. And yet where we see a strong correlation between an exposure and an outcome, we need to be able to determine if there is a cause and effect relationship. Public Health professionals and epidemiologists have typically use the Bradford Hill criteria to establish causality. I don't like the Bradford Hill criteria. Instead I advocate for a process of exclusion (exclude chance, bias, confounding, reverse causation and fraud).\n
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Resource Details

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Educator Rating
Not yet Rated
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Media Length
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5:53
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Grade
Higher Ed
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Subjects
Career & Technical Education
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Media Type
Instructional Videos
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Source:
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\nGlobal Health with Greg Martin\n\n
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Date
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2021
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Language
English
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Audiences
For Teacher Use
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Usage Permissions
Fine Print: Educational Use
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Concepts

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public health, bias, correlation, chance, fraud, nature, time, interest, data, epidemiology
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Additional Tags

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global health, international health, mph, causation, causality, draw conclusion, causal pathway, shark attacks, actual fact, causal relationship, exclude, confounding, fact, relationship, study, exposure, talking, effect, talk, briefly, explain, outcome, reversibility, plausibility, criteria
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Best For: Explaining a topic
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\n\" data-title=\"Get Full Access\" data-container=\"body\" rel=\"popover\" tabindex=\"0\" aria-label=\"Play video: Causality. Why you shouldn't use Bradford Hill criteria!\" href=\"/subscription/new\">\"Causality.\n\n
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