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bias in rcts
partial/non compliance, balance, differential attrition, spillover/contamination
partial/non-compliance
when the treated group doesn’t get the treatment
Some people defy the treatment (if it makes them respond diff than without)
Matters because it can reduce the difference between treatment and control
If we look at those who took the treatment anyways, the T & C groups may no longer be comparable
Compliance becomes less of an issue for easy (to get or administer) treatments
balance
the idea that the T & C look the same on average
Matters because the control group is meant to be a counterfactual of the experiment
Ensuring balance addresses selection issues
differential attrition
attrition (effect to balance) that occurs more/only occurs in one group → treatment and control dont look the same
Non-differential attrition is mostly okay, may reduce power
spillover/contamination
indirect effects of the treatment that change the control group
If the treatment group tells control about its intervention, or treating a disease in one community increases herd immunity and protects another
Can reduce by randomizing at a higher levels (i.e. randomize at the school, rather than classroom, level)
intent to treat
addresses partial compliance by averaging treatment on both groups, regardless of whether they were actually treated
CTC ex: not everyone can receive the CTC from treatment group, but ITT assumes they did anyways
treatment-on-the-treated
addresses partial compliance by analysing treatment effect based only on those who actually got the treatment
CTC ex: can be estimated if you know who actually got the credit, but can overestimate the effects if those who got it are differe
Generalizeability issues in RCTs
inclusion/exclusion criteria, differential response rates, who receives the intervention, size/number of participants (statistical power), differences in analytical methods by group, and ethics
methods of controlling for bias
patient act as his/her own control, cross-over designs, blinding of patients to intervention, blinding of investigators, blinding data analysts
research designs
RCT pre/post test w/ control, post test only w/ control, delayed intervention design
RCT Pre/post w/ control
randomized groups, then both control and treatment observed before and after; only treatment group gets intervention in the middle
post test only w/ control
randomized, treatment given intervention, and both treatment and control are observed after T gets intervention
delayed intervention design
control & treatment both randomized, T given intervention, both observed after, and then after second observation the control gets the treatment
Ethically superior
R O X O
R O O X
cross-over design
R O X O (X) O X O
R O (X) O X O (X) O
Compares two or more treatments by having the same participants receive treatments/interventions in a predetermined sequence
in this case, (X) is the placebo