Biostats 7 Flashcards

1
Q

What is the Gold Standard of Study Design?

A

Randomized, Double-Blind, Placebo- Controlled Trial

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2
Q

What is Intention to Treat Analysis?

A
  • In intention to treat analysis, groups are analyzed according to original, randomized group regardless of whether they received the treatment or not.
  • Otherwise, your randomization is lost, and a selection bias is introduced
  • Remember randomization usually ensures that known and unknown factors are evenly distributed in the various treatment groups
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3
Q

What is a Type II error?

A

If null is not rejected when it should be

Concluding incorrectly that exposure and disease
are not associated

Concluding incorrectly that two treatment groups are not different

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4
Q

What is power?

A

Power is ability to detect an association or difference if it really exists

Usually power for a study should be 80% or more

Type II error is committed when there is inadequate power for the study

Power is determined to a great extent by sample size. If sample is small, then likely to commit Type II error.

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5
Q

Eqn for power?

A

1-beta error

Higher the power, the lower the beta error

● Higher the power, the better our chances of finding a treatment benefit if there is one

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6
Q

Power can be increased by:

A

● Increasing Sample Size
● Increasing the treatment effect
● Increasing the alpha
Power of 80-90% is respectable

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7
Q

What is the eqn for Risk difference?

A

incidence (exposed)- incidence (unexposed)

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8
Q

What is the eqn for number needed to treat?

A

1/ risk difference

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9
Q

What is a Type I error?

A

Type I error occurs when the null hypothesis is true, but it is incorrectly rejected.

Often a significance level of 0.05 is chosen; then 5% of the time the null will be rejected when it should not be.

The level of significance (alpha level) is pre-determined by the investigator; it is the probability of making a Type I error that the investigator is willing to accept.

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10
Q

P value – the probability that the findings are due
to chance
● IF the P value = .24, there is a 24% probability these
findings are due to chance
● Generally, the alpha value is set at .05 or less. If
the p value is .05 or less, the null hypothesis is rejected
● The alpha level of .05 to reject the null hypothesis was selected arbitrarily; 1/20 probability that results are due to chance seems reasonable

A

P value – the probability that the findings are due
to chance
● IF the P value = .24, there is a 24% probability these
findings are due to chance
● Generally, the alpha value is set at .05 or less. If
the p value is .05 or less, the null hypothesis is rejected
● The alpha level of .05 to reject the null hypothesis was selected arbitrarily; 1/20 probability that results are due to chance seems reasonable

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