Lecture 6 Flashcards

1
Q

When being able to make a casual inference we need to establish…

A

… that the exposure occurred before the outcome

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2
Q

Our aim in a research study is to obtain…

A

… a reliable estimate of the impact of the intervention or exposure on the outcome of interest

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3
Q

What we need in a hypothesis to make it specific enough to test

A
  • defined population
  • a ‘quantity’
  • time frame
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4
Q

How to calculate RR

A
  • proportion
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5
Q

What does RR show

A

A summary of the relationship between risk of cardiovascular disease when taking vitamin D supplicants vs the risk when not taking them is know as the relative risk

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6
Q

Sources of error in analytic studies

A

Sources of error in:
- how we set up our study or design

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7
Q

What is confounding

A
  • a distortion of the association between exposure and outcome caused by the presence of a third facter
  • a confounded is a variable that caused distortion
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8
Q

To be a confounder, a variable must be both…

A
  • associated with the exposure (idependent of outcome)
  • associated with the outcome (independent of exposure)

May not just be an intermediate link in the ‘casual pathway

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9
Q

Confounding pathway in an observational study

A
  • might be systematic differences between study and control group
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10
Q

How might you get confounding in an intervention study?

A
  • during random allocation you cancel out confounder and can be confident in results
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11
Q

Two types of bias in analytic study

A
  • selection bias
  • information bias
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12
Q

What is selection bias

A
  • systematic error arising form the way participants are selected for inclusion in the study
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13
Q

How does selection bia occur in an analytic study

A
  • if the selection process causes a systematic difference between the groups of participants selected for the study
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14
Q

Is the issue of representativeness bias or a generalisability issue

A
  • prospective analytic studies rarely obtain participants through random sampling of population
  • the issure of represtantativeness must be considered, but for analytic studies we consider it a generalisability issue rather then bias

(Generalisation doesn’t represent who you’re looking for - need a confident inference)

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15
Q

What is information bias?

A
  • systematic error arising form the way study information was obtained, interpreted and recorded
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16
Q

In an analytic study when is information bias a particular problem..

A
  • if there are systemic differences in the information obtained from groups under comparison in the study
17
Q

Information bias may be introduced by the:

A
  • observer
  • study individual (respondent)
  • instruments used to collect the data ( e.g badly designed questionaire)
  • missing measurements (e.g from loss to follow-up in a prospective missing)
18
Q

Non response to a measurement is generally considered________ but non response to participation in the study can be considered ______

A

Information bias
Selection bias

19
Q

If people drop out of an observational analytic study

A
  • wont get a good estimate
  • groups will be more similar
  • can’t use two different selection groups - there will be selection bias
  • if randomly people missing from both groups - there wont be a systematic difference
20
Q

Bias in a RCT

A
  • people may forget to take supplement or accidentally take it influencing the true difference
21
Q

Classification by purpose of study

A
  • descriptive (describe things)
  • analytic (testing hypothesis)
22
Q

Classification by form of the design

A
  • experimental (researcher intervenes)
  • observational (researcher observes)
23
Q

Analytic, experimental, prospective

A
  • randomised control trial
24
Q

Randomised control trial

A
  • analytic
  • experimental
  • prospective
25
Q

Cohort study

A
  • analytic
  • observational
  • usually prospective
26
Q

Analytic, observational, usually prospective

A

Cohort study

27
Q

Analytic, observational, retrospective

A
28
Q
A