Behavioral Science Flashcards

1
Q

Cross sectional study

A

Observational study that collects data from a group ofpeople to assess frequency of disease at a particular point in time

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2
Q

Case control study

A

Takes a group of people with a disease and determined what happened.

Uses odds ratio

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3
Q

Cohort study

A

Compares a group with a given exposure or risk factor to a group without such risk factor. Looks to see if exposure increases likelihood of disease.

Uses relative risk

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4
Q

Phase I clinical trial

A

Determines safety, toxicity, pharmacokinetics

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5
Q

Phase II

A

Assesses treatment efficacy, optimal dosing, adverse effects

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6
Q

Phase III

A

Is it better? Compares new treatment to standard

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7
Q

Phase IV

A

Can it stay? Detects rare or long term adverse effects

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8
Q

Precision

A

The reliability of a test = absence of random variation. Random error reduces precision.

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9
Q

Accuracy

A

The trueness of a test. Systematic error reduces accuracey

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10
Q

Selection bias

A

Nonrandom assignment to participate in a study group. Randomization is a strategy to reduce this bias

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11
Q

Berkson bias

A

A study looking only at inpatients

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12
Q

Loss to follow up

A

Studying a disease with early mortality

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13
Q

Healthy volunteer and worker biases

A

Study populations are healthier than the general population

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14
Q

Recall bias

A

Awareness of disorder alters recall by subjects. Common in retrospective studies. Decrease time from exposure to follow up to prevent

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15
Q

Measurement bias

A

If info is gathered in a way that distorts it

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16
Q

Hawthorne bias

A

Groups who know they’re being watched behave differently

17
Q

Procedure bias

A

People in different groups are treated differently

18
Q

Observer-expectancy bias

A

Researcher’s belief in the efficacy of the treatment changes the outcome.

19
Q

Lead time bias

A

Early detection is confused with increased survival.

20
Q

Standard error of the mean

A

An estimation of how much variability exists between the sample mean and the true population mean. SEM goes up as N decreases

21
Q

Null hypothesis

A

Hypothesis of no difference – no association between the risk factor and disease

22
Q

Alternative hypothesis

A

Hypothesis of some difference

23
Q

T test

A

Comparing means of 2 grousp

24
Q

ANOVA

A

Comparing means of 3 or more groups

25
Q

Chi-square

A

Comparing difference between percentages or proportions of categorical outcomes.

IE: Percentage of populations who have hypertension.

26
Q

Primary
secondary
tertiary Disease prevention

A

Prevent
Screen
Treat