Introduction and Causal Concepts Flashcards

1
Q

Epidemiologists seek to identify ______ and evaluate _________ with various _______ of interest

A
  • exposures (demographic, infectious, toxic, nutritional, lifestyle
  • associations
  • outcomes
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2
Q

Generalized inferences about ‘causation’ based on repeated observations

A

Inductive Reasoning

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3
Q

Starts with hypothesis and makes observations to either prove or refute assumptions

A

Deductive Reasoning

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4
Q

Factor always present with disease

A

component cause (necessary cause

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5
Q

Factor is present, disease invariably follows

A

sufficient cause (very few are sufficient themselves)

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6
Q

Causal Web model Causes

A

Direct (ex. toxin)

Indirect (exposure on outcome mediated through intervening variables)

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7
Q

Counterfactual (Potential Outcomes)

A

Exposed vs. Non-exposed

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8
Q

Census = ________ evaluated

A

Everyone

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9
Q

Sample = data collected from _____ of population

A

subset

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10
Q

Descriptive Study

A

describes population

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11
Q

Analytic

A

estimate magnitude of association b/w outcome and exposures

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12
Q

Target population

A

extrapolate results from in a study

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13
Q

source population

A

pop. study subjects were drawn

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14
Q

study sample

A

indie that end up in study

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15
Q

sampling frame

A

list of all sampling units in source pop.

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16
Q

association exist when in fact it doesn’t

A

Type 1 (alpha) error

17
Q

outcome aren’t different when they are

A

Type 2 (beta) error

18
Q

judgement of investigator sample is representative of pop

A

judgement sampling

19
Q

easy to obtain sample

A

convenience

20
Q

subject possesses one or more attributes known to exposure

A

purposive sampling

21
Q

every element in pop. has a non-zero prob of being in study

A

random selection (probability sampling)

22
Q

Simple Random

A

Every study subject in source pop has the same chance

23
Q

systematic random

A

study pop size / required sample size

24
Q

stratified random (Proportional)

A

sampled in each stratum is proportional to total number in each stratum

25
Q

Cluster sampling

A

natural collection of study subjects

26
Q

multistage sampling

A

secondary sampling unit is selected from a cluster

27
Q

targeted (risk-based) sampling

A

sample only from strata with probability of disease