Analytical Epidemiology Flashcards

1
Q

Experimental study

A

-study preventions and Tx for disease; investigator actively manipulates which groups receive the agent under study.

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2
Q

Observational study

A

-study causes, treatments, preventions for disease. Passive data collection.

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3
Q

Cohort study

A

examines multiple health effects of an exposure. subjects are defined by exposure level and followed for disease occurrence.

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4
Q

Case-control

A

examine multiple exposures in relation to disease. subjects are defined as cases and controls and exposure histories are compared.

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5
Q

Cross-sectional

A

examine relationship between exposure and disease prevalence at a single point in time.

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6
Q

Ecological study

A

relationship between exposure and disease with population-level rather than individual-level data

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7
Q

Why utilize the 6 studies in Epi.?

A

-method to establish a relationship between an exposure and a disease w/ validity and precision; minimal resources

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8
Q

What are the sources for in a cohort study?

A

1) internal comparison 2) General population 3) Comparison cohort.
internal; most similarly mirror study group.

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9
Q

What is the primary goal of a cohort study?

A

compare occurrence of symptoms, disease, and death in exposed and unexposed groups.

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10
Q

What are advantages of case-control study?

A

the cases are their own controls; eliminating confounding characteristics like gender, race, and elimination of type bias.

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11
Q

What are the main type of epidemiologic studies?

A
  • experimental
  • ecological
  • observational
  • cohort
  • case control
  • cross sectional
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12
Q

What are three methods to control confounding in study design?

A
  • randomization: controls both known and unknown cofoun. only useful in experimental studies
  • matching: good for smalll studies. bad bc more variables make it harder to match
  • restriction: simple and cheap. hard to ID sufficient # of subjects
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13
Q

How can you control confounding in Analytical study?

A
  • stratification: easy to view raw data. does not account for numerous variables.
  • multivariate:mathmatical model to explain exposure/outcome relationship. accounts for multiple cofounders, but no raw data available.
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