Research Methodology 4: Stats 2 Flashcards

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1
Q

define prevalence

A

Prevalence measures the frequency of “cases” in a given population at a designated time

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2
Q

what kind of study measures prevalence

A

cross sectional

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3
Q

what does a cross sectional study meausure

A

prevalence and exposure

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4
Q

what ca you calculate from a cross sectional study

A

point prevalence

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5
Q

pros of cross sectional study

A

Measure prevalence and thus disease burden in whole population and subpopulations
Can compare prevalence in exposed and non-exposed to risk factors
Quick and inexpensive
Can be used to initially explore a hypothesis, prior to another type of study

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6
Q

cons of cross sectional

A

Not suitable for rare diseases
Not suitable for diseases of short duration
Cannot separate cause and effect as they are measured at the same time
Cannot measure rate of new cases arising and any changes therein

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7
Q

what do cohort studies measure

A

A group of people is followed through time, and the onset of a disease/health event measured.

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8
Q

what can you calculate from a cohort study?

A

incidence

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9
Q

what is the relative risk ?

A

incidence of disease in exposed/ incidence of disease in non-exposed.

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10
Q

what does the number tell you for relative risk

A

<1 = less risk than those not exposed
1= same risk
>1 risk in exposed greater than non

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11
Q

pros of a cohort study

A

Can calculate incidence and relative risk
Can offer some evidence of cause – effect relationship i.e. impact of exposure on disease
Can identify more than one disease related to single exposure (and positive outcomes of exposure/s as relevant)
Good when exposure is rare
Minimises selection and information bias

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12
Q

cons of a cohort study

A

Potential for losses to follow-up (attrition may differ in exposed versus unexposed / disease versus non, the longer the follow-up the greater the risk of attrition)
Often requires large sample, can take a long time to complete
Less suitable for rare diseases
Expensive
If retrospective, data availability and quality may be poor

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13
Q

what is a case control study

A

Case–control study  groups who differ at outset on disease (condition/outcome) status

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14
Q

pros of a case control

A

Can offer some evidence of cause – effect relationship i.e. impact of exposure on disease
Can identify multiple exposures (both positive and negative associations, interactions)
Good when disease/outcome is rare
Minimises selection and information bias
Retrospective - cheaper and typically shorter in duration

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15
Q

cons of a case control

A

Cannot calculate prevalence or incidence
Less suitable for rare exposures
Can be hard to ensure exposure occurred before onset
Retrospective data availability and quality may be poor
Suitable control group may be difficult to find

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16
Q

how do we calculate risk

A

Risk = outcome of interest / totalnumber of all possible outcomes

17
Q

how do we calculate odds?

A

Odds = outcome of interest / outcomes not of interest

18
Q

how do we calculate odds ratio?

A

Odds ratio = odds in exposed / odds in non-exposed

19
Q

define confidence interval

A

The confidence interval describes the range of values with a given probability (e.g. 95%) that the true value of a variable is contained within that range.

20
Q

define PPV

A

Positive Predictive Value (PPV) = likelihood patient with positive test result actually has the disease

21
Q

define NPV

A

Negative Predictive Value (NPV) = likelihood patient with negative test result does not have the disease