Critical numbers 2- Summary Statistics I Flashcards

1
Q

3 types of catergorical data:

A
  • binary- 1 or the other
  • ordinal- natural order e.g. level of pain
  • nominal- no natural order e.g. blood group
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2
Q

2 types of numerical data

A
  • discrete - can only take certain values e.g. shoe size
  • continuos - can take any value e.g. weight
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3
Q

prevelance vs incidence

A

prevelance: number of existing cases

incidence: number of new cases

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4
Q

what is risk?

A

probability of an outcome

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5
Q

what is odds?

A

probailty of outcome occuring vs outcome not occuring (divide outcome occuring by outcome not occuring)

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6
Q

what is rate?

A

probaility of an outcome per time (add total time even if lost to follow up) per person per year

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7
Q

relative risk/odds/rate

A

1 divided by the other

  • 1 means no difference
  • higher than 1, higher risk/odds/rate
  • lower than 1, lower risk/odds/rate
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8
Q

relative vs absolute

A

realaitive is percentage incraese but absolute is actual figures

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9
Q

What does PICO / PECO stand for?

A

population
intervention/exposure
comparator
outcome

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10
Q

establsihing causality in non-randomised studies?

A

strength of association- stronger association more liekly to be causal
consistency- shown over differnet studies? differnet location?
specificity- specific exposure outcome relationship
temporality- exposure must precede outcome
biological gradient- dose-response- higher exposure = higher outcome?
plausibility- biological mechanisms explain this?
coherence- compatibilty with current theories
experiment- outcome altered with experimentation
analogy- similar cause-effect relationships esablished

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11
Q

What are ecological, cross sectional, case-control, cohort studies?

A

Ecological studies – compare areas with different levels of exposure
Cross-sectional studies – compare individuals with different levels of exposure
Case-control studies – compare those with or without the outcome/disease
Cohort studies – follow up individuals with different levels of exposure over time

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12
Q

what is a confounding variable?

A

another factor linked to both risk and outcome

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