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32 Cards in this Set

  • Front
  • Back
Relative risk =
Odds ratio=
Absolute risk reduction
Iold - Inew
1/(Iold - Inew)
What is efficacy? How is it calculated?
how much of the risk in control group is reduced by the new treatment.
The odds ratio is an alternative to ___
You can use relative or absolute measures of effect. Explain and when is each one useful.
Relative are very informative for causation strength.

Absolute is very informative with regards to the total risk reduction associated with a treatment
Do relative or absolute measures measure the magnitude?
What allows you to compare both relative and absolute measures?
Relative or absolute?
1. most relevant for etiology.
2. attributable risk.
3. most relevant to evaluate actual treatment/risk to exposed individuals.
1. relative.
2. absolute
3. absolute
why can't you only analyze the treatment of actual treatment when there is crossover?
violate principles of random
besides upholding randomization, why is it important to use intention to treat for analysis?
because crossover may be heavily due to adverse effects of treatment
List the three main limitations of randomized clinical controlled trials.
not always feasible of ethical.
limited generalizability.
statistical uncertainty
what is an alternative to incidence? to relative risk?
explain NNT.
compare relative, absolute, and combination factors.
think about when each is relative.
good work.
what is a parameter
When you want to know if one treatment is better, you want to know by how much this treatment is better!
is standard error bigger or smaller if you have a big sample size
inverse relationship
describe type one error
when you think there is a difference when in fact there is not

associated with false positive and p value
describe type II error
when you think there is no difference when in reality there IS!

associated with false negative and beta probability
is type I or type II error more common? why?
type I error is more common because there is only one null hypothesis and many alternative hypotheses!
what is the null hypothesis in the case of ARR? In RR?
how do you account for type I error?
in your pvalue
give the wording for the p value
the probability that the difference in our findings this large or larger from the null hypothesis would only occur __% of the time IF the null were in fact true
in order to find your pvalue what do you do to z?
you double it
give a definition for confidence interval
the range of values in which you would find your mean parameter 95% of the time
what can the CI NOT include if you want to say your null is untrue
you can't include your null hypothesis value
what three things does statistical power depend on?
magnitude of findings
set alpha value
sample size
how do you caluclate chi square
sum of ....(O-E)^2 / E
how do you calculate SD?
like this!
how do you relate a p value and a z score?
Find z. Double it. This is P!