Causality. Why you shouldn't use Bradford Hill criteria!

Causality. Why you shouldn't use Bradford Hill criteria!

Assessment

Interactive Video

Health Sciences, Biology

University

Hard

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The video discusses causality, emphasizing the difference between correlation and causation. It critiques the Bradford Hill criteria, arguing that they often restate correlation rather than proving causation. The video suggests that causality should be determined by excluding alternative explanations like chance, bias, confounding, reverse causation, and fraud. It provides examples to illustrate these concepts, such as the relationship between ice cream consumption and shark attacks, which is confounded by hot weather.

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7 questions

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1.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

What is the primary focus when discussing causality in public health?

Analyzing the dose-response relationship

Exploring the Bradford Hill criteria

Identifying the strength of association

Understanding the correlation between variables

2.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

Which of the following is NOT a criterion in the Bradford Hill criteria?

Consistency of finding

Reverse causation

Strength of association

Plausibility

3.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

Why does the speaker criticize the Bradford Hill criteria?

They are too complex to understand

They focus too much on plausibility

They restate correlation without proving causation

They are outdated and irrelevant

4.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

What is the main issue with relying solely on plausibility in determining causation?

It does not account for alternative explanations

It can be easily manipulated

It is not a strong indicator of causation

It is often based on subjective judgment

5.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

Which of the following is an example of confounding?

A study sample that does not represent the population

A fabricated study published in scientific literature

A study showing a false relationship due to measurement error

A relationship between two variables influenced by a third variable

6.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

What does reverse causation imply?

The effect precedes the cause

The cause and effect occur simultaneously

The cause is unrelated to the effect

The effect is unrelated to the cause

7.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

What is the final step in concluding a causal relationship?

Ensuring the relationship is plausible

Identifying a mechanism for the relationship

Excluding all alternative explanations

Re-evaluating the Bradford Hill criteria