5 - Study designs (part II): Experimental epidemiological studies Flashcards

1
Q

Randomised control trial

A
  • prospective studies
  • each individual is allocated a treatment at random
  • disease status of each individual is later measured
How well did you know this?
1
Not at all
2
3
4
5
Perfectly
2
Q

Why randomize?

A
  • Protect against unsuspected sources of bias

- No guarantee, but an attempt to equalize groups

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
3
Q

modes of randomisation

A
  • Completely randomised design (equi-probability)
  • Randomized block design (block = strata)
  • Split-splot
  • Crossover
  • Sequential
How well did you know this?
1
Not at all
2
3
4
5
Perfectly
4
Q

simple randomisation

A

each individual has equal probability of being selected

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
5
Q

block randomisation

A

split into groups, and allocate randomly

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
6
Q

RCT trial hypothesis

A

superiority trial/ equivalence trial

s: is it better than nothing/placebo/current?
e: is it as good as?

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
7
Q

RCT phases

A

I: safety and feasibility
II: pilot test
III: large scale trials
IV: follow up surveillance

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
8
Q

internal validity

A

the scientific integrity of the trial

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
9
Q

external validity

A

the extent to which the results generalise to the wider population

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
10
Q

Blinding

A

procedure whereby people involved in the study do not know which group each participant is in.

  • removes bias
How well did you know this?
1
Not at all
2
3
4
5
Perfectly
11
Q

single blind

A

the participants don’t know which arm they are in

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
12
Q

double blind

A

neither the scientists nor the participants know which arm they are in

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
13
Q

triple blind

A

neither the scientists, the participants, nor the oversight committee know which arm they are in

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
14
Q

decision making

A
  • Eligibility
  • Enough subjects?
  • Stratification
  • What to measure and how to analyse
How well did you know this?
1
Not at all
2
3
4
5
Perfectly
15
Q

bias

A

any systematic error that results in an incorrect estimate of the effect of an exposure on the risk of a disease

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
16
Q

selection bias

A

People selected for inclusion in study are different from those not selected

17
Q

measurement/ classification bias

A

The measurement or classification of the exposure or the outcome

18
Q

non-differential bias

A

bias occurs equally in both case and control groups

19
Q

differential bias

A

bias occurs at different levels in case and control groups

20
Q

recall bias

A

Systematic error due to differences in accuracy or completeness of recall to memory of past events or experiences.

21
Q

observer bias

A

tendency of observers to see what they expect to see

22
Q

accuracy

A

The degree to which a measurement or an estimate based on measurements represents the true value of the attribute being measured.
= validity

23
Q

precision

A

The degree to which results can be repeated to give the same value

= Reliability

= Reproducibility

= Stability of measurement

24
Q

Confounding

A

occurs when a risk factor appears to be associated with a disease, but this association is actually caused by the presence of one or more other (possibly unobserved) risk factors

25
Q

how to correct confounding

A

In design: matching

In data analysis: ‘stratification’ or ‘adjustment’

26
Q

how to correct bias

A

Very difficult to correct for bias in data analysis

Possible sources of both bias and confounding should be considered before a study is carried out