Statistics and errors Flashcards

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1
Q

What is the definition of an experiment?

A

An experiment requires a variable to be changed. E.g. control arm, treatment arm.

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2
Q

What is difficult to determine from an observational study?

A

Causation, as the investigator has not changed any variable to establish causation.

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3
Q

What is per protocol design?

A

Dump patients out of the data if they fail to complete the study.

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4
Q

What is intention to treat study design?

A

Keeping participants who drop out of a study in the analysis at the end.

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4
Q

What is the difference between descriptive and inferential statistics?

A

Descriptive statistics tell you about the characteristics of the sample used (also called a sample statisitc or SS) and inferential statistics use the inforamation in the study to make an inference about the population (also known as a population prediction or PP). SS are reported in arabic text, PP in greek letters.

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4
Q

What is a type II error?

A

Incorrectly retaining the null hypothesis when the alternative hypothesis is in fact true.

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4
Q

What is a type I error in a study/test/stats?

A

Incorrectly rejecting the null hypothesis. If P<0.05, then type I errors will be made 5% the time.

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5
Q

Define a confidence interval

A

When the procedure is repeated, the true value will fall between the confidence interval, the XX% amount of the time.

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6
Q

What is relative risk?

A

The ratio of risk of something happening in one scenario (thing happening/ thing happening + thing not happening) to that thing happneing in another scenario (thing happening/ thing happening + thing not happening).

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7
Q
A
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