Epidemiology Methods and Biostatistics Flashcards

1
Q

?: extent at which an instrument measures what it is supposed to measure

A

Validity

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2
Q

?: general accuracy of the measure

A

Validity

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3
Q

4 types of validity

A
  • Face validity
  • Content validity
  • Construct validity
  • Criterion validity
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4
Q

?: is the question/ first look/ overall structure valid at first glance

A

Face validity

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5
Q

?: does it measure what it is intended to measure

A

Content validity

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6
Q

?: ability to measure abstract concept adequately, it it designed to measure well

A

Construct validity

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7
Q

?: extend to which measurement able to produce accurate findings when compared to gold standard

A

Criterion Validity

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8
Q

?: is degree to which a measurement produces consistent outcomes

A

Reliability

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9
Q

3 types of reliability:

A

1- Test-restest reliability
2- internal consistency
3- inter-rater reliability

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10
Q

?: refers to repeatability. Such as food frequency questionnaire

A

Test-restest reliability

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11
Q

?: similar questions give similar answers to same subject

A

Internal consistency

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12
Q

?: looks at consistency and agreement between two experts; same questions by two different administrators

A

inter-rater reliability

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13
Q

____ is related to general accuracy

A

Validity

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14
Q

____ is related to general precision

A

Reliability

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15
Q

____ is related to validity and accuracy

A

Bias

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16
Q

____ is related to reliability and precision

A

Random Error

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17
Q

Bias is:

A

systematic error

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18
Q

Precision is:

A

random error

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19
Q

Types of Bias

A
  • Observer Effect
  • Social Desirability Bias
  • Selection Bias
  • Sampling error
  • Reporting bias
  • Publication bias
  • Measurement error
  • Misclassification error
  • Nonresponse bias
  • Healthy volunteer bias
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20
Q

?: researcher or interviewer body language or intonation affects participant’s response

A

Observer Effect

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21
Q

?: when participant responds in a way they think they should

A

Social desirability bias

22
Q

?: ppl decide to include in study dont represent population aimed to study. MAIN THREATS to VALIDITY AND GENERALIZABILITY

A

Selection bias

23
Q

?: when data points used in analysis don’t represent entire population of data

A

Sampling error

24
Q

?: direction or statistical significance of results influence whether or how research is reported

A

Reporting bias

25
?: when papers finding a null hypothesis are not submitted to review, or or not selected for publication
Publication bias
26
?: random error, miscalibrated instrument, imprecision
Measurement error
27
?: wrong category placement
Misclassification error
28
?: not enough answers or data collection when send out surveys (1000 send vs 100 responds)
Non-response bias
29
?: healthy ppl participate in healthy surveys
Healthy volunteer bias
30
?: how valid and close to the truth
Accuracy
31
?: having frequent similar results not necessarily close to truth
Precision
32
?: the ability of a test to correctly identify those with a disease
Sensitivity
33
?: ability of a test to correctly identify those without a disease as disease free
Specificity
34
Sensitivity formula
TP/ TP + FN
35
Specificity Formula
TN/ FP + TN
36
?: probability that a pt has the disease given a positive screening test value
Positive Predictive Value PPV
37
?: probability pt does not have disease given negative screening test value
Negative predictive value NPV
38
PPV Formula
TP/ TP + FP
39
NPV Formula
TN/ FN + TN
40
?: number of existing disease cases during a period of time
Prevalence
41
?: number of new disease cases that develop over a period of time
Incidence
42
PPV increase with increasing ____
Prevalence
43
?: state of being unhealthy, not in good health, or with disease
Morbidity
44
?: refers to death
Mortality
45
?: measure of association between a dependent and independent variable
Odds ratio
46
?: average across a population
Mean
47
?: 50th percentile
Median
48
?: most frequent value
Mode
49
With a negative skew, ____is lower than ____
Mean is lower than median
50
With positive skew, ____is higher than ____
Mean is higher than median
51
?: way to describe spread of a distribution
Standard deviation