analytical studies and key statistical concepts Flashcards

1
Q

what design are epidemiological study

A

obersavtional

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2
Q

why do we do epidemiological studies?

A
  1. Understand what happened
  2. Estimate the extent of the outbreak
  3. Identify the potential source
  4. Can be controlled and prevented in the future
  5. Create evidence and knowledge
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3
Q

what is descriptive epidemiology

A

identify a potential source of the disease as well as likelihood of an exposure is associated with the disease.
when was the population affected, who was affected

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4
Q

what is risk

A

proportion of initially disease-free individuals who develop a disease over a defined period of observation

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5
Q

when would you use a cohort study

A

in a well-defined population where they all have something in common such as exposure

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6
Q

what is attack risk

A

proportion of people who become ill with a disease in a population initially free of the disease

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7
Q

when is a case control study used

A

when there is not a defined population, all cases are included and then controls are selected

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8
Q

what is an odds ratio

A

estimates the difference of frequency of exposure between cases and controls

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9
Q

what relative risk RR is a risk factor:

A

RR greater than 1

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10
Q

what relative risk has no association

A

when RR = 1

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11
Q

what is a relative protective factor

A

when RR = <1

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12
Q

examples of when case control outbreaks used

A

take-aways, most outbreaks, pandemics

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13
Q

what are P-values

A

probability of obtaining the results at least as extreme as the observed results assuming the null hypothesis is correct

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14
Q

what is a statistically significant P value

A

<0.05

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15
Q

what is a statistically insignificant P value

A

> 0.05

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16
Q

what are confidence intervals

A

range of potential values for the risk ratio or odds ration.

17
Q

what does a 95% CL including 1 mean?

A

the data is not relevant

18
Q

what is univariable analysis

A

one exposure variable

19
Q

what is a confounder

A

something that is associated with both exposure and outcome

20
Q

what is multivarible analysis

A

looking at associations for several X variables (exposures) simultaneously but only one Y variable (illness)

21
Q

what are the aims of multivariable analysis

A
  • understand what variables are associated with an outcome
  • account for the effect of other variables when measuring one variable
  • adjust for confounders
22
Q

when is odds ratio used

A

when we don’t know the whole population, case-control studies

23
Q

examples of when cohort studies would be used

A

weddings, functions

24
Q

what is Analytical epidemiology

A

looks at how and why the population were affected