Lecture 30: Interpreting Meta Analysis Flashcards

1
Q

define meta analysis

A

“The statistical synthesis of the data from separate but similar (i.e., comparable studies) leading to a quantitative summary of the pooled
results”

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2
Q

what does a forest plot show? (2)

A

– Information from the individual studies that went into the meta analysis
– Amount of variation in treatment effect between studies
- how much each study contributed to overall result
- shows estimate of OVERALL result

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3
Q

what type of outcomes are possible for Pooled Estimate on Dichotomous Outcomes?

A
  • Relative Risk
  • Relative Risk Reduction
  • Odds Ratio
  • Hazard Ratio
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4
Q

what type of outcomes are possible for Pooled Estimate on continuous Outcomes?

A
  • Weighted Mean Difference

* Standardized Mean Difference

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5
Q

see examples of diff plots

A

ok

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6
Q

benefit of a meta analysis?

A

By pooling the results of multiple studies in a meta-analysis, you # the absolute
number of events, which in turn makes the confidence intervals more precise and
increases your confidence in the estimate of treatment effect.

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