Stats PPT 3 Flashcards

1
Q

Name some types of scientific/medical studies: (4 examples)

A

Randomized controlled trial
Prospective trial
Retrospective study
Cross-sectional study (prevalence study)

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2
Q

What does a randomized, controlled trial do?

A

Randomized: no pattern to who is distributed into one group vs another. Eliminates bias.

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3
Q

What does blinding do?

What does double blinding do?

A

Blinding = patients don’t know.

Double blinding = Both managers and patients don’t know

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4
Q

What makes a trial prospective?

A

You establish what you are looking at before you actually study people.

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5
Q

When is a retrospective study more useful?

A

When studying a disease that is very rare/uncommon. You can’t be certain it will turn up in a prospective trial.

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6
Q

What is a retrospective study?

A

When you take data that has already been generated and look back at it.

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7
Q

How do you randomize?

A

Sometimes they use the numbers in Pi.

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8
Q

What distinguishes an experimental study from an observational one?

A
Experimental =  actively doing something
Observational = just watching and recording
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9
Q

What is a case series?

A

Kind of like a smaller retrospective.

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10
Q

What is a meta-analysis?

A

A look at lots of complicated studies, collectively.

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11
Q

How does a multi-stage therapeutic trial minimize harm?

A

You start small. Check carefully. Then increase and follow up.

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12
Q

What are some methods of data display?

A

Error bars, box-and-whisker plot,

pie chart, scatter plot

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13
Q

What do error bars do?

A

Indicate the range of probable error.

Show average and variability for each parameter.

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14
Q

What if the error bars overlap?

A

Might diminish significance of differences.

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15
Q

What information does a box-and-whisker plot give you?

A

Total range up and down, median (in the middle), quartiles.

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16
Q

What kind of display tells you about the course of follow-up for (ex: bypass graft) patients?

A

Life table

17
Q

What does linear regression tell you?

A

The probability of correlation/trend. It generates an r value.

18
Q

Is it bad to see a negative correlation?

A

No, just an inverse relationship.

19
Q

Can you glance at a scattergram and tell roughly whether there is correlation?

A

Maybe

20
Q

What does the r value tell you?

A

r = regression. The likelihood of correlation.

21
Q

What’s a good r value?

A

> 0.8

22
Q

What’s a perfect r value?

A

Strongest r value = 1.00

23
Q

What r value shows absolutely no correlation?

A

Weakest r value = 0.00. Totally random.

24
Q

What things might make you more skeptical about a study? (7 examples listed)

A

Where did the funding come from? Is there data missing? Was the patient dropped? Is the test repeatable? Was the study published? Was it peer reviewed? Was there dubious sampling?