Jove
Visualize
Contact Us
JoVE
x logofacebook logolinkedin logoyoutube logo
ABOUT JoVE
OverviewLeadershipBlogJoVE Help Center
AUTHORS
Publishing ProcessEditorial BoardScope & PoliciesPeer ReviewFAQSubmit
LIBRARIANS
TestimonialsSubscriptionsAccessResourcesLibrary Advisory BoardFAQ
RESEARCH
JoVE JournalMethods CollectionsJoVE Encyclopedia of ExperimentsArchive
EDUCATION
JoVE CoreJoVE BusinessJoVE Science EducationJoVE Lab ManualFaculty Resource CenterFaculty Site
Terms & Conditions of Use
Privacy Policy
Policies

Related Concept Videos

Randomized Experiments01:13

Randomized Experiments

The randomization process involves assigning study participants randomly to experimental or control groups based on their probability of being equally assigned. Randomization is meant to eliminate selection bias and balance known and unknown confounding factors so that the control group is similar to the treatment group as much as possible. A computer program and a random number generator can be used to assign participants to groups in a way that minimizes bias.
Simple randomization
Simple...
Bioequivalence Experimental Study Designs: Completely Randomized and Randomized Block Designs01:20

Bioequivalence Experimental Study Designs: Completely Randomized and Randomized Block Designs

Bioequivalence experimental study designs are crucial methodologies used in evaluating and comparing the bioavailability of different drug products. These designs are categorized into various types: completely randomized, randomized block, repeated measures, cross and carry-over, and Latin square designs.Completely randomized designs involve randomly allocating treatments to all subjects participating in the experiment. This allocation is achieved by assigning unique random numbers to subjects...
Bioequivalence Experimental Study Designs: Repeated Measures, Cross-Over, Carry-Over, and Latin Square Designs01:15

Bioequivalence Experimental Study Designs: Repeated Measures, Cross-Over, Carry-Over, and Latin Square Designs

Bioequivalence experimental study designs play a pivotal role in testing the effectiveness of various treatments. Key among these are the repeated measures, cross-over, carry-over, and Latin square designs. In the repeated measures design, each subject receives all treatments, allowing for temporal comparisons. This type of design is useful in reducing variability but requires careful planning to avoid bias.The cross-over design, an economical method, involves sequential administration of...
Types of Biopharmaceutical Studies: Controlled and Non-Controlled Approaches01:23

Types of Biopharmaceutical Studies: Controlled and Non-Controlled Approaches

Biopharmaceutical studies constitute a vital field aiming to enhance drug delivery methods and refine therapeutic approaches, drawing upon diverse interdisciplinary knowledge. In research methodologies, the choice between controlled and non-controlled studies significantly influences the study's reliability and accuracy.
Non-controlled studies, commonly employed for initial exploration, lack a control group, rendering them susceptible to biases and external influences. In contrast, controlled...
Blinding01:11

Blinding

Blinding is a commonly used method of not telling participants which treatment a subject is receiving. Blinding is a critical part of a randomized control trial or RCT. It reduces the bias that affects the results. In an RCT, blinding is used in the form of a placebo. A placebo effect occurs when untreated subjects falsely believe they have received the treatment and report improved symptoms. A placebo or a dummy treatment is administered to subjects to negate the bias caused by such an effect.
What is an Experiment?01:12

What is an Experiment?

An experiment is a planned activity carried out under controlled conditions. The purpose of an experiment is to investigate the relationship between two variables. When one variable causes change in another, we call the first variable the explanatory or independent variable. The affected variable is called the response or dependent variable. In a randomized experiment, the researcher manipulates values of the explanatory variable and measures the resulting changes in the response variable. The...

You might also read

Related Articles

Articles linked to this work by shared authors, journal, and citation graph.

Sort by
Same author

Risk of cancer incidence and mortality in patients with chronic pain: A systematic review and meta-analysis.

Cancer metastasis reviews·2026
Same author

Pharmacists are responsible for patient outcomes when dispensing opioids.

American journal of health-system pharmacy : AJHP : official journal of the American Society of Health-System Pharmacists·2026
Same author

Pharmacy in Australia: are we research ready?

The International journal of pharmacy practice·2026
Same author

Glucose-only Therapy for Potassium Reduction: A Scoping Review.

Kidney medicine·2026
Same author

Exploring quality improvement processes for psychotropic medication use in Australian residential aged care homes: a qualitative study.

Journal of pharmaceutical policy and practice·2025
Same author

Opioid use and the risk of cancer incidence and mortality: a systematic review.

Cancer metastasis reviews·2025
Same journal

Neurobiological Determinism versus Human Freedom: Competing Explanatory Models and the Hope for Moral Enhancement.

The Journal of medicine and philosophy·2026
Same journal

Zygotes are Persisting Organisms.

The Journal of medicine and philosophy·2026
Same journal

Ethical Examination of Genetic Enhancement from the Perspective of Confucian Human Dignity.

The Journal of medicine and philosophy·2026
Same journal

Reproducing Anachronism: Ageing, Fertility and Inequality in Reproductive Governance.

The Journal of medicine and philosophy·2026
Same journal

Genetic Moral Enhancement-A View Based on Mencius' Theory of Human Nature.

The Journal of medicine and philosophy·2026
Same journal

Egalitarian Justice and the Prevalence Principle in Human Genome Editing.

The Journal of medicine and philosophy·2026
See all related articles

Related Experiment Video

Updated: May 9, 2026

A Clinical Trial Assessing the Safety, Efficacy, and Delivery of Olive-Oil-Based Three-Chamber Bags for Parenteral Nutrition
04:53

A Clinical Trial Assessing the Safety, Efficacy, and Delivery of Olive-Oil-Based Three-Chamber Bags for Parenteral Nutrition

Published on: September 20, 2019

Why randomized interventional studies.

Adam La Caze1

  • 1School of Pharmacy, The University of Queensland, Brisbane, QLD 4072, Australia. a.lacaze@uq.edu.au

The Journal of Medicine and Philosophy
|July 17, 2013
PubMed
Summary
This summary is machine-generated.

Randomization is not essential for scientific conclusions. However, interventional studies are superior to observational studies for drug efficacy testing due to avoiding selection bias.

Keywords:
epidemiologyevidence in medicineevidence-based medicineobservational studiesrandomized controlled trials

Related Experiment Videos

Last Updated: May 9, 2026

A Clinical Trial Assessing the Safety, Efficacy, and Delivery of Olive-Oil-Based Three-Chamber Bags for Parenteral Nutrition
04:53

A Clinical Trial Assessing the Safety, Efficacy, and Delivery of Olive-Oil-Based Three-Chamber Bags for Parenteral Nutrition

Published on: September 20, 2019

Area of Science:

  • Philosophy of Science
  • Biostatistics
  • Clinical Trial Design

Background:

  • Randomization is often considered essential for robust experimental design.
  • John Worrall argues that randomized and observational studies are epistemologically equivalent under certain conditions.
  • The role and necessity of randomization in scientific research, particularly in medicine, are debated.

Purpose of the Study:

  • To challenge the claim that randomized interventional studies are epistemologically equivalent to observational studies.
  • To argue for the epistemological superiority of well-designed interventional studies over observational studies in specific contexts.
  • To highlight the importance of avoiding selection bias in drug efficacy testing.

Main Methods:

  • Philosophical argumentation and critical analysis of existing claims regarding study design.
  • Comparison of epistemological strengths of interventional versus observational study designs.
  • Focus on the context of testing drug therapies and the issue of selection bias.

Main Results:

  • Well-designed interventional studies are epistemologically superior to well-designed observational studies.
  • Interventional studies possess a unique capacity to mitigate selection bias, a key advantage in drug efficacy research.
  • The claim of epistemological equivalence between randomized and observational studies is contested.

Conclusions:

  • Randomization is not a prerequisite for drawing scientific conclusions.
  • Interventional studies, particularly in drug efficacy research, offer distinct epistemological advantages over observational studies.
  • Selection bias is a critical factor that differentiates the evidential value of interventional and observational study designs.