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The 131 pages that link to Randomized controlled trial, each with the reason it gives.
Evidence-based medicineRelated: Random allocation can reduce confounding when estimating treatment effects.
Causal inferenceRelated: Random assignment breaks confounding on average, giving a direct route to causal estimates.
Clinical trialBroader topic: Random allocation helps separate an intervention’s effects from differences between participants.
Placebo effectRelated: Placebo controls are its defining feature; the effect created the design's need.
EpidemiologyCompared with: Random assignment can test interventions more directly than observational comparisons can.
Traditional Chinese medicineRelated: Trials test specific Chinese medical interventions while limiting bias and confounding.
Traditional medicineRelated: Its methods test defined treatments, but may not capture every feature of a complex healing system.
CausalityBroader topic: Random assignment helps estimate treatment effects by balancing confounding factors.
ConfoundingBroader topic: Random assignment is a design-based defense against baseline confounding.
OverdiagnosisNarrower topic: Long-term comparisons of screened and unscreened groups can help estimate excess diagnoses.
AntioxidantRelated: Trials test whether antioxidant supplements improve health beyond biochemical plausibility.
Personalized medicineRelated: Traditional trials estimate average effects that may obscure variation among patients.
Development economicsRelated: Random assignment helps test whether specific anti-poverty interventions change outcomes.
PlaceboNarrower topic: Random assignment helps estimate whether an active treatment outperforms a placebo.
Experimental designBroader topic: It is a common design for testing whether an intervention causes an outcome change.
External validityRelated: Trial participants and conditions may differ from those encountered in routine practice.
Selection biasRelated: Random assignment does not erase bias from selective recruitment, nonadherence, or attrition.
Field experimentNarrower topic: Field experiments often use random assignment to compare interventions under real-world conditions.
Functional magnetic resonance imagingRelated: Careful randomized task designs help distinguish condition-related signals from confounds.
Omega-3 fatty acidRelated: Trials provide direct evidence about whether omega-3 interventions improve health outcomes.
Observational studyCompared with: Random assignment can balance confounders, unlike ordinary observation.
ProbioticsRelated: Product-specific trials are needed because probiotic effects cannot be generalized across strains.
A/B testingNarrower topic: A/B testing is a randomized controlled trial adapted to product and communication decisions.
Foreign aidRelated: Researchers use trials to test particular aid interventions, though findings may not generalize to whole aid systems.
Health technology assessmentRelated: Trials often provide evidence on a technology’s efficacy and short-term harms.
Null hypothesisRelated: A common null states that assignment to the intervention does not change the outcome.
Effective altruismRelated: Trial evidence can guide intervention choices, though many important effects cannot be tested this way.
HomeopathyRelated: Trials using this design have tested whether homeopathic remedies outperform placebo.
RecidivismRelated: Random assignment can test whether an intervention changes subsequent offending or justice contact.
Case studyCompared with: Random assignment targets causal effects through comparison rather than deep study of one bounded case.
Natural experimentCompared with: It provides the benchmark that natural experiments approximate without researcher-controlled assignment.
AcupunctureRelated: Trials of acupuncture face distinctive challenges in blinding practitioners and choosing credible controls.
EconometricsRelated: Random assignment provides a benchmark for measuring causal economic effects.
Evidence-based policyBroader topic: Random assignment can strengthen claims about a policy intervention's causal effects.
Mindfulness-based stress reductionRelated: Trials help distinguish MBSR’s effects from attention, expectations, and other influences.
Random number generationRelated: Random assignment helps balance confounding factors between treatment groups.
RandomizationBroader topic: Random assignment is the defining feature that supports causal comparisons in this trial design.
Music therapyRelated: Trials can estimate intervention effects, while therapeutic outcomes and contexts may vary.
Placebo-controlled trialNarrower topic: Random allocation can balance groups in a placebo-controlled trial.
Quasi-experimentCompared with: Random assignment balances causes of outcomes in expectation; quasi-experiments lack this safeguard.
Virtual reality exposure therapyRelated: Trials help establish how virtual exposure compares with established treatments and control conditions.
ExperimentBroader topic: It applies random assignment and controls to estimate treatment effects.
Nudge theoryRelated: Trials can test whether a nudge changes behavior rather than merely seeming plausible.
Outbreak investigationCompared with: Outbreak investigations usually observe naturally occurring exposures rather than assign them experimentally.
Program evaluationCompared with: It can estimate causal effects, but is one design among several used in evaluation.
Ultra-processed foodRelated: A controlled feeding trial found higher calorie intake on an ultra-processed diet than an unprocessed diet.
Empirical evidenceBroader topic: Random assignment helps test causal claims by balancing confounding factors.
Instrumental variableCompared with: Random assignment directly balances treatment groups, while an instrument usually shifts exposure indirectly.
Nutritional epidemiologyRelated: Diet trials can strengthen causal inference, but long-term adherence and feasibility are challenging.
Animal-assisted therapyRelated: Randomized comparisons can test benefits beyond attention, novelty, or usual care.