Research) RCT And Comparing Groups Flashcards

1
Q

What is a RCT

Why are trials done, give eg

What is the importance of randomisation, what does it avoid

A

WhAT IS A CONFOUNDER

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2
Q

What makes a good RCT

What is bias, how can this happen in RCT

A

Internal and external validity - is IV causing DV??

What is bias independent from

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3
Q

What types of bias are there, explain each one

A

Selection, performance, attrition, observer / detection bias

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4
Q

What is selection bias

A

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5
Q

What is observer or detection bias

A

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6
Q

What is attrition bias

A

What types of analysis can be done that relates to this

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7
Q

What kind of blinding can be done

What can and cant be blinded

A

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8
Q

What is open RCT
Double blinded RCt
Triple blind
Single blind

A

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9
Q

Error and power

What is significance level and power

What levels are they accepted at?

A

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10
Q

What is the p value

Discuss what different values what mean and how a high and low p value would occur

What is threshold to reject null hypothesis

A

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11
Q

What is needed to calculate sample size

A

Minimal clinically important difference (effect size) needs to be estimated

Standard deviation that would be likely to happen should be known

How much error is allowed or okay fo the expt

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12
Q

What s the importance of calculating sample size

A

Can get too few or too many

Error decr as sample incr

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13
Q

What types of data are there, describe each

A

Categorical and scale

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14
Q

Scale valuables: parametric and non parametric

Discuss

A

Negative and positive skew???

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15
Q

Skew

What problems of it, and what can you do to approach this in analysis

Give eg of when data can be skewed

A

Interquartile range instead of standar deviation

Median instead

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16
Q

Descriptive analysis

What does this entail, how can it be analysed

A

17
Q

How can difference between groups be measured

Frequency? Proportion? (Differences)

A

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18
Q

RCT with continuous outcomes

What can be used to compare groups here

What assumptions are here

A

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19
Q

T tests

What is being tested here

A

20
Q

What is used to compare frequency or continuous variables between more than 2 groups?

A

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21
Q

Chi-square test

What is required of the data for this

What is assumed

What is being tested

A

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22
Q

Non parametric tests

What does this mean

Example of this?

What data is used and how

What is used for analysis

A


Mann-Whitney U test instead of t-test

Kruskal Wallis instead of ANOVA

Spearman’s Rho instead of correlation

23
Q

For non-parametric data, what is an alternative to the t-test to compare?

What is the variable described as for non parametric data

What assumptions are needed (and what doesn’t matter)

A

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24
Q

Mann-Whitney U test

What is it what is it for what data does it use

What is being tested

What is the test output

A