Key Concepts & Self-Assessment20 Key Facts
Review key Randomised Controlled Trial: Clinical Design & Bias Control exam facts and rate your mastery to track revision.
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#1
An RCT is a prospective experimental research study where participants are randomly assigned to experimental or control cohorts.
#2
The trial architecture directly establishes causality by isolating the independent variable while eliminating confounding factors.
#3
Random allocation generates baseline exchangeability, equalizing measured and unmeasured biological variables between test groups.
#4
Clinical trials are classified hierarchically above observational cohort studies, case-control studies, and cross-sectional surveys.
#5
Sir Austin Bradford Hill designed the first modern randomized clinical trial in 1948 for the UK Medical Research Council streptomycin study.
#6
Scottish naval surgeon James Lind conducted one of the earliest recorded controlled comparative clinical experiments on scurvy in 1747.
#7
The 2019 Nobel Prize in Economic Sciences was awarded to Abhijit Banerjee, Esther Duflo, and Michael Kremer for experimental RCT field approaches in poverty alleviation.
#8
The CONSORT statement was first published in 1996 to establish global standards for transparent RCT reporting and peer-reviewed publication.
#9
Allocation concealment prevents selection bias by shielding the randomization sequence from investigators enrolling eligible participants.
#10
Double-blind protocols mask both participants and investigators to eliminate subjective expectation bias and differential co-interventions.
#11
Centralized interactive response technology and sealed opaque envelopes represent standard operational tools for concealing treatment allocation.
#12
Data safety monitoring boards function as independent committees authorized to pause or terminate trials displaying significant adverse events or early efficacy.
#13
Intention-to-treat analysis evaluates participants in their originally assigned groups regardless of non-compliance, protocol deviations, or dropout.
#14
Per-protocol analysis evaluates only participants who strictly complete the prescribed intervention, measuring ideal efficacy rather than practical effectiveness.
#15
Type I alpha error denotes the false discovery rate, conventionally set at a five percent significance threshold in two-tailed hypotheses.
#16
Statistical power reflects the probability of correctly rejecting a false null hypothesis, typically targeted at eighty to ninety percent in trial power calculations.
#17
Clinical equipoise mandates that an RCT may ethically commence only when genuine medical uncertainty exists regarding treatment superiority.
#18
The Declaration of Helsinki adopted by the World Medical Association governs ethical standards, patient informed consent, and human subject protections.
#19
Explanatory trials measure therapeutic efficacy under ideal, tightly controlled experimental conditions, whereas pragmatic trials assess real-world effectiveness.
#20
Regulatory approval by bodies like India's CDSCO or the US FDA requires multi-phase RCT evidence before novel therapeutic molecules enter commercial markets.
Subject Specialist Commentary
Analytical perspective & practical exam advice from the Master10 academic board
A randomised controlled trial is the gold standard of scientific proof because it eliminates human bias and coincidence. Imagine testing a new medicine on two groups. If doctors picked who took the pill, they might unconsciously choose healthier patients. By flipping an unbiased digital coin to assign groups and masking who gets the genuine medicine versus a harmless sugar pill, the trial proves whether healing stems from the drug itself or random chance.
In civil services and state PSC examinations, questions routinely target the difference between intention-to-treat and per-protocol analysis, as well as the distinction between efficacy and effectiveness. Remember that blinding prevents psychological bias, while allocation concealment prevents recruitment manipulation before enrollment. Keep the mnemonic 'COIN-IT' in mind: Concealment, Outcome blinding, Intention-to-treat, and Null-hypothesis testing. Never confuse an explanatory trial measuring ideal laboratory efficacy with a pragmatic trial measuring messy, real-world clinical effectiveness.
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