EBPS 2: Truth, Bias and Chance in Research Flashcards

1
Q

Sampling

A

Choosing particular individuals from a population

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2
Q

Census

A

where we study every individual in a population

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3
Q

Experimental study

A

You intentionally manipulate an exposure by doing an “intervention” (usually with one or more control groups), and then see what happens

Randomized & non-randomized controlled trial

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4
Q

Observational study

A

You just observe without any intervention
- Cross-sectional
- Cohort
- Case-control

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5
Q

Target population

A

The population for whom the research question is relevant

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6
Q

Accessible population

A

The population the researchers have access to and plan to study

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7
Q

Study sample

A

the actual study subjects who were included in the study and whose data were analyzed and included in the study estimates

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8
Q

Target phenomenon

A

The thing you want to learn about

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9
Q

Intended variables

A

The things you think you can realistically measure in a research study

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10
Q

Actual measurements

A

The measurements that are actually made (with error) for a study

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11
Q

Inference

A

A conclusion reached on the basis of evidence and reasoning

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12
Q

Estimate

A

Numerical best guess informed by data

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13
Q

Point estimate

A

The single best guess estimate

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14
Q

95% Confidence interval

A

The interval within which the TRUE parameter will be found 95% of the time (this helps us understand the precision of an estimate)

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15
Q

Internal validity

A

How well do the study estimates represent what was intended in the study plan?

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16
Q

External validity

A

How relevant are the study estimates to the research question?
- AKA: Generalizability
- Are study results applicable to the patient/population/problem in front of me?

17
Q

Random error

A

Error caused by chance (random processes)
- Lots of random error/chance = poor precision
- There can be random error in both sampling and measurement

18
Q

Systematic error

A

Error caused by non-random processes
- Lots of systematic error/bias = poor accuracy
- There can be systematic error in both sampling and measurement

19
Q

The Basic Research Cycle

A
  1. research question
  2. study design
  3. drawing a sample of people to study
  4. making measurements in that sample
  5. analyze and interpret the data
20
Q

Measurement

A

making observations about the individuals who are sampled for the study
1. numeric (quantitative)
2. thematic (qualitative)

21
Q

intervention

A

intentionally expose people to something