Week 1 Flashcards

1
Q

sample size can be bigger than population size

A

if redundant samples are taken

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2
Q

probability/random sampling

A

simple random sampling, systematic sampling, stratified sampling, cluster random sampling

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3
Q

Non random sampling

A

snowball sampling, quota sampling, purposive sampling

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4
Q

Proportionate stratified sampling

A

same proportion from each stratum

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5
Q

Disproportionate stratified sampling

A

different proportion from different strata

ensures minorities are adequately covered

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6
Q

HALE

A

Health adjusted life expectancy

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7
Q

DALYs

A

Disability adjusted life years

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8
Q

Attack rate

A

Percentage of people who were exposed and then got disease

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9
Q

Relative risk

A

risk of disease in those who were exposed relative to non exposed
Attack rate exposed and disease / attack rate non exposed and disease

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10
Q

Sufficient cause

A

factor (or combination of factors ) that will inevitably produce disease
presence of it alone is enough to result in the disease

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11
Q

Component cause

A

factor that contributes towards disease causation but is not sufficient to cause disease on its own

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12
Q

Necessary cause

A
any agent (or component cause) required for the development of a given disease 
disease is never present when the factor is not present
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13
Q

temporality

A

exposure must precede disease development

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14
Q

strength of association

A

stronger an association is (as described by the relative effect), the less likely it is to be due solely to either bias or confounding

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15
Q

consistency

A

higher consistency, more likely to be causal rather than association

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16
Q

dose-response relationship

A

if a factor does cause a disease, then the risk of developing the disease is likely to be related to the amount or ‘dose’ of exposure; level and duration of exposure

17
Q

reversibility

A

if you remove the exposure, you remove the outcome

18
Q

Bradford hill criteria

A
plausibility 
consistency 
reversibility 
strength of association 
temporality 
dose-response
19
Q

data transformation can occur only from

A

numerical to categorical

20
Q

systematic sampling

A

divide population size by sample size
round decimal down to give k
select x between 1 and k
x is first number, then every kth number after that

21
Q

reduced risk/lower odds: none

A

0.83-1

22
Q

reduced risk/lower odds: weak

A

0.67-0.83

23
Q

reduced risk/lower odds: moderate

A

0.33-0.67

24
Q

reduced risk/lower odds: strong

A

0.10-0.33

25
Q

increased risk/higher odds: none

A

1.0-1.2

26
Q

increased risk/higher odds: weak

A

1.2-1.5

27
Q

increased risk/higher odds: moderate

A

1.5-3.0

28
Q

increased risk/higher odds: strong

A

3.0-10.0

29
Q

upstream work

A

looking at source and how to prevent disease

30
Q

downstream work

A

treatment after exposure to disease

31
Q

absolute requirement- bradford hill criteria

A

temporality

32
Q

strength of association described by

A

relative effect, OR or RR