Linked from

The 104 pages that link to Clinical trial, each with the reason it gives.

• Traditional medicineRelated: Trials can test the safety and effectiveness of specific traditional treatments.

• Drug discoveryRelated: Human trials generally begin after discovery and preclinical work nominate a candidate.

• Food and Drug AdministrationRelated: FDA rules govern many trials that support product approval.

• PharmacologyRelated: Controlled trials became essential for determining whether drugs benefit people safely.

• Binomial distributionRelated: The number of participants experiencing an outcome can follow this model under suitable assumptions.

• AyurvedaRelated: Trials test specific Ayurvedic therapies without assuming the traditional system’s full theory.

• Therapeutic indexRelated: Human studies test whether preclinical safety margins predict effects in patients.

• Medical deviceRelated: Clinical investigations can establish whether a device is safe and performs as intended.

• Research and developmentRelated: Clinical trials test whether candidate medicines are safe and effective.

• Survival analysisRelated: Trials use time-to-event outcomes to compare treatments on endpoints such as relapse or death.

• National Institutes of HealthRelated: NIH supports clinical trials that test interventions and improve medical evidence.

• ReplicationRelated: Replicating trial findings helps assess whether treatment effects hold across populations and settings.

• Pharmaceutical industryRelated: Trials generate the human evidence needed to evaluate investigational medicines.

• Drug regulationRelated: Clinical trials generate the human evidence regulators assess before authorizing many medicines.

• Cancer stagingRelated: Eligibility and treatment groups often depend on cancer type and stage.

• AromatherapyRelated: Controlled trials test whether reported benefits exceed expectation and other influences.

• Statistical hypothesis testingRelated: Trials use prespecified tests to assess treatment effects while controlling decision errors.

• Complementary and alternative medicineRelated: Controlled trials can test whether a CAM practice improves outcomes beyond comparison conditions.

• Bernoulli trialRelated: A participant's response can sometimes be recorded as a binary endpoint and modeled as a trial outcome.

• Mixed methods researchRelated: Qualitative components can investigate participant experiences or trial processes alongside measured outcomes.

• Herb–drug interactionRelated: Controlled trials can test suspected interactions, but many herb–drug pairs lack direct study.

• Type I and type II errorsRelated: Trial designs set acceptable false-alarm risks while seeking enough power to detect meaningful effects.

• BiomedicineRelated: Trials assess whether biomedical interventions benefit patients and what harms they cause.

• Integrative medicineRelated: Trials test whether particular complementary practices improve outcomes beyond standard care.

• Sample sizeRelated: Trial sample size balances the ability to detect benefit against cost, time, and participant burden.

• Grounding techniquesRelated: Controlled studies can help distinguish grounding’s specific benefits from expectation and other supports.

• Jerzy NeymanRelated: Error rates and power are central to designing trials that test treatments.

• ReikiRelated: Trials are used to test whether Reiki produces effects beyond expectation and attention.

• Statistical populationRelated: Trial results concern a defined population of potential patients, not only enrolled participants.

• Adjuvant therapyRelated: Trials establish whether added treatment improves outcomes enough to justify its harms.

• Medicinal plantsRelated: Trials can test whether a standardized plant preparation benefits patients.

• Random assignment (experimental design)Related: Random assignment helps clinical trials estimate treatment effects without baseline selection differences.

• Stem-cell therapyRelated: Trials establish whether experimental cell treatments benefit patients and what risks they carry.

• Clinical pharmacologyRelated: Trials test efficacy, dosing, and safety before and after medicines enter routine care.

• Factorial experimentRelated: Factorial trials can test combinations of interventions within one study.

• Sample size determinationRelated: Trial protocols specify outcomes and design constraints that determine enrollment targets.

• BifidobacteriumRelated: Strain-specific trials determine whether proposed benefits extend beyond laboratory findings.

• Depersonalization-derealization disorderRelated: Limited treatment evidence makes controlled studies especially relevant to care.

• Statistics (numerical data)Related: Trial outcomes become statistics for comparing benefits and harms.

• FavipiravirRelated: Conflicting favipiravir trial results make study design and endpoints especially consequential.

• NaturopathyRelated: Trials test whether specific naturopathic treatments improve outcomes beyond comparison care.

• QuackeryRelated: Well-designed trials can test whether promoted treatments provide benefits and reveal risks.

• Regression toward the meanRelated: Patients selected for unusually severe symptoms may improve even without an effective treatment.

• MedicineRelated: Trials test a medicine’s safety and effectiveness before or after approval.

• QuercetinRelated: Trials test whether effects observed for quercetin in laboratory studies translate to people.

• TherapeuticsRelated: Trials compare treatments and establish evidence about their effects.

• Caffeic acidRelated: Human trials are needed to test health effects suggested by laboratory research on caffeic acid.

• CymbopogonRelated: Human trials are needed to test medicinal claims made for Cymbopogon preparations.

• DimethyltryptamineRelated: Controlled trials can test DMT’s safety, effects, and possible therapeutic value.

• Ear candlingRelated: Controlled testing found no effective suction and no useful wax removal from candling.