Statistics Flashcards

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1
Q

How does RANZCOG classify their levels of evidence?

A

From level 1-5

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2
Q

List the levels of evidence and what they mean in RANZCOG?

A

I - systematic review of RCTs
II - High quality RCT
III - Observational case control or cohort studies
IV - case report or case series (non analytical)
V - expert opinion

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3
Q

Give 3 examples of descriptive study types?

A

Correlational
Cross sectional
Case reports and case series

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4
Q

Give two examples of analytical observational studies

A

case controlled studies

cohort studies

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5
Q

give two examples of analytical interventional study types

A

Randomised controlled trials

clinical controlled trials

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6
Q

Give an example of a secondary study

A

Systematic review

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7
Q

Describe case control studies

A

Cases are selected on basis of outcome
carefully matched to control group who do not experience the outcome
examine exposure retrospectively

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8
Q

Describe cohort studies

A

Experimental group selected on basis of exposure
carefully matched to control group who are not exposed
Examine outcome status prospectively

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9
Q

In what scenario are case control studies good? list another benefit

A

Good for rare outcomes and common exposures

Relatively fast and cheap

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10
Q

In what scenario are cohort studies good? list another benefit

A

good for rare exposures and common outcomes

most rigorous of epidemiological studies

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11
Q

Describe a case report

A

a case is a detailed report on the profile of a single patient
rare events are usually reported in case reports

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12
Q

Describe what a case series is

A

Case series is a report on a series of patients with an outcome of interest

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13
Q

Give 3 disadvantages of descriptive studies

A

highly susceptible to bias
suggests association not causation
does not establish temporal relationship between cause and effect
may confuse characteristics of a group with characteristics of an individual

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14
Q

List 3 types of bias that affect case control studies

A

recall bias
selection bias
measurement error

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15
Q

describe detection bias and list a way it can be mitigated

A

where measurements are taken differently between treatment groups
mitigated by blinding

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16
Q

describe selection bias and a method to mitigate this form of bias

A

where subject allocation results in treatment groups that are systematically different, apart from in the intervention being studied.
Can be mitigated by randomisation

17
Q

Describe observer bias and how to mitigate this

A

where the data collector is able to be subjective about the outcome
blinding, hard outcomes (measurable)

18
Q

describe publication bias and how this can be mitigated

A

when negative studies are less likely to be published than positive ones
clinical trial registries

19
Q

describe recall bias and how this can be mitigated

A

altered reporting of symptoms by patients depending on which group they have been allocated to
blinding

20
Q

describe response bias and how to mitigate

A

when patients who enrolled for a trial are not representative of a population making the results not generalisable
Random sampling

21
Q

Describe the Hawthorne effect

A

When the process of doing the study improves the outcome

use of control group + masking the study intent from patients/participants and observers