Lecture 8- data interpretation Flashcards

(51 cards)

1
Q

what does science look at

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2
Q

what is the outcome of most analytical studies

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3
Q

what is the simplest method of presenting an association

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4
Q

what is internal validity

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5
Q

what is external validity

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6
Q

what is an example of a data interpretation study

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7
Q

what is meta analysis

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8
Q

why was the study limited

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9
Q

why is exercise commonly considered in studies

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10
Q

what are the main questions that need to be asked in data interpretation

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11
Q

what is confounding

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12
Q

when is an association more likely to be casual

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13
Q

how is association generally interpreted

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14
Q

what is correlation

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15
Q

what test tests for chance of associations

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16
Q

what does p=0.05 mean

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17
Q

what does p=0.01 mean

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18
Q

what is an error

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19
Q

what is random error

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20
Q

what is systematic error

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21
Q

what error can we not fix and why

22
Q

what error can we fix

23
Q

what are the 3 major sources of random error

24
Q

what is individual

25
what is sampling error
26
what is measurement error
27
what are the implications of random error
28
what type of error can be measured in terms of size
29
what does systematic error affect
30
what does random error affect
31
what is systematic error
32
what are the 3 main sources of systematic error
33
what is Ascertainment bias
34
what is selection bias
35
how do we deal with selection bias
36
what are the 3 types involved in measurement bias
37
how do we deal with measurement bias
38
is bias in epidemiology fatal
39
what is the confounder process
40
why are confounders referred to as third variables
41
what is an example of important confounder found in many studies
42
what is Multivariate analysis used
43
what do confounders have a relationship between
44
what does the confounder and the exposure have
45
what is the Most common concern is that confounding may create
46
how do we control confounders
47
what is the restriction study design
48
what is the matching study design
49
what is the Stratification study design
50
what is the Multivariate analysis study design
51
What statistical techniques do we use in the confounded process