EBM6: Study Interpretation Flashcards

1
Q

How does study size impact random error

A

Random error goes down as the study size or the sample size increases

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2
Q

What happens to systematic error with study size

A

It stays the same, doesnt get impacted by the size

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3
Q

Types of systematic error

A
  1. Selection bias
  2. Information bias
  3. Confounding bias
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4
Q

How is selection biases introduced

A

Subjects who make into the study or the selective losses of the subjects

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5
Q

What is intention to treat analysis

A

Analyse what you randomize (people lost in the course of the study have their data not considered from the very beginning)

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6
Q

Does intention to treat analysis help with loss of subjectives due to selective bias

A

No

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7
Q

What is information bias

A

Faulty measurement of data or erroneous data due to some other reason.

It can result from error in the design or conduct of the study

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8
Q

What is information bias also called

A

Misclassification

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9
Q

What are the types of information bias

A

Recall bias and interviewer bias.

Know the difference between the 2

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10
Q

What are the reasons for misclassification

A

There are 2, Miclasify either the disease or the exposure

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11
Q

What is differential and non differential misclasification

A

Non differential is when you make the same mistake in the classification of the disease whereas in differential you only make the mistake once and dont repeat the mistake throughout the study

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12
Q

How do you address confounding

A

In the study design phase or in the analysis phase using stratified analysis

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13
Q

What other type of bias is there

A

Medical surveliance bias, medical condition of one disease influences the outcome of a study of another disease

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14
Q

Berkson’s bias

A

Using people from hospitals

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15
Q

What is hawthorn effect

A

You act differently when you are being observed

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16
Q

What is the difference between association or causality

A

Association doesnt have any causality

Causation is usually multifactorial

17
Q

How do you determine causality

A
  1. Strength of association
  2. Consistency
  3. Specificity - single effect
  4. Temprality - causes precedes effect
  5. Biological gradient
  6. Biological plausibility
  7. Coherence
  8. Experiment
  9. Analogy