5 - Study designs (part II): Experimental epidemiological studies Flashcards
Randomised control trial
- prospective studies
- each individual is allocated a treatment at random
- disease status of each individual is later measured
Why randomize?
- Protect against unsuspected sources of bias
- No guarantee, but an attempt to equalize groups
modes of randomisation
- Completely randomised design (equi-probability)
- Randomized block design (block = strata)
- Split-splot
- Crossover
- Sequential
simple randomisation
each individual has equal probability of being selected
block randomisation
split into groups, and allocate randomly
RCT trial hypothesis
superiority trial/ equivalence trial
s: is it better than nothing/placebo/current?
e: is it as good as?
RCT phases
I: safety and feasibility
II: pilot test
III: large scale trials
IV: follow up surveillance
internal validity
the scientific integrity of the trial
external validity
the extent to which the results generalise to the wider population
Blinding
procedure whereby people involved in the study do not know which group each participant is in.
- removes bias
single blind
the participants don’t know which arm they are in
double blind
neither the scientists nor the participants know which arm they are in
triple blind
neither the scientists, the participants, nor the oversight committee know which arm they are in
decision making
- Eligibility
- Enough subjects?
- Stratification
- What to measure and how to analyse
bias
any systematic error that results in an incorrect estimate of the effect of an exposure on the risk of a disease
selection bias
People selected for inclusion in study are different from those not selected
measurement/ classification bias
The measurement or classification of the exposure or the outcome
non-differential bias
bias occurs equally in both case and control groups
differential bias
bias occurs at different levels in case and control groups
recall bias
Systematic error due to differences in accuracy or completeness of recall to memory of past events or experiences.
observer bias
tendency of observers to see what they expect to see
accuracy
The degree to which a measurement or an estimate based on measurements represents the true value of the attribute being measured.
= validity
precision
The degree to which results can be repeated to give the same value
= Reliability
= Reproducibility
= Stability of measurement
Confounding
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
how to correct confounding
In design: matching
In data analysis: ‘stratification’ or ‘adjustment’
how to correct bias
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