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

Cluster Sampling Method01:20

Cluster Sampling Method

13.8K
Appropriate sampling methods ensure that samples are drawn without bias and accurately represent the population. Because measuring the entire population in a study is not practical, researchers use samples to represent the population of interest.
To choose a cluster sample, divide the population into clusters (groups) and then randomly select some of the clusters. All the members from these clusters are in the cluster sample. For example, if you randomly sample four departments from your...
13.8K
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

113
Body: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...
113
Randomized Experiments01:13

Randomized Experiments

8.7K
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...
8.7K
Bioequivalence Experimental Study Designs: Completely Randomized and Randomized Block Designs01:20

Bioequivalence Experimental Study Designs: Completely Randomized and Randomized Block Designs

148
Body: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...
148
Study Designs in Epidemiology01:20

Study Designs in Epidemiology

770
Epidemiological study designs are fundamental tools for investigating the distribution, determinants, and control of health conditions in populations. They help researchers understand the relationships between exposures and outcomes, and they broadly fall into two categories: "observational" and "experimental" studies.
Observational studies are those where the researcher does not intervene but rather observes natural variations. They include cross-sectional, cohort, and...
770
Study Design in Statistics01:15

Study Design in Statistics

9.8K
A study design is a set of techniques that allow a researcher to collect and analyze data from different variables defined for a specific research problem. Statistics is commonly for effective study design and more robust experiments,
Does aspirin reduce the risk of heart attacks? Is one brand of fertilizer more effective at growing roses than another? Is fatigue as dangerous to a driver as the influence of alcohol? Questions like these are answered using randomized experiments with proper...
9.8K

You might also read

Related Articles

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

Sort by
Same author

Data sharing in stepped-wedge cluster randomized trials: suboptimal data availability despite "data available upon request".

Journal of clinical epidemiology·2026
Same author

UK National Screening Committee position statement on surrogate outcomes in cancer screening trials.

BMJ (Clinical research ed.)·2026
Same author

CRT-Estimands Framework: consensus based extension of the ICH E9(R1) addendum for cluster randomised trials.

BMJ (Clinical research ed.)·2026
Same author

Supported implementation enhances injury prevention programme (Prep-to-Play) use in women and girls playing Australian Football: a pragmatic type III hybrid implementation-effectiveness stepped wedge cluster randomised trial.

British journal of sports medicine·2026
Same author

The wood and the trees: estimands in cluster randomised trials.

Trials·2026
Same author

Reconsidering registration requirements for trials randomising health care providers.

Clinical trials (London, England)·2026

Related Experiment Video

Updated: Dec 22, 2025

Barnes Maze Testing Strategies with Small and Large Rodent Models
12:59

Barnes Maze Testing Strategies with Small and Large Rodent Models

Published on: February 26, 2014

43.3K

Reflection on modern methods: when is a stepped-wedge cluster randomized trial a good study design choice?

Karla Hemming1, Monica Taljaard2,3

  • 1Institute of Applied Health Research, University of Birmingham, Birmingham, UK.

International Journal of Epidemiology
|May 10, 2020
PubMed
Summary

The stepped-wedge cluster randomized trial (SW-CRT) offers unique benefits but carries higher bias risks than parallel trials. Justify SW-CRT use carefully, prioritizing parallel designs when feasible.

Keywords:
Cluster randomized trialdesign justificationstepped-wedge

More Related Videos

Candidate Gene Testing in Clinical Cohort Studies with Multiplexed Genotyping and Mass Spectrometry
05:53

Candidate Gene Testing in Clinical Cohort Studies with Multiplexed Genotyping and Mass Spectrometry

Published on: June 21, 2018

10.5K
Author Spotlight: Evaluating the Adjuvant Efficacy and Safety of Angong Niuhuang Pill in Viral Encephalitis Treatment
08:36

Author Spotlight: Evaluating the Adjuvant Efficacy and Safety of Angong Niuhuang Pill in Viral Encephalitis Treatment

Published on: April 19, 2024

1.0K

Related Experiment Videos

Last Updated: Dec 22, 2025

Barnes Maze Testing Strategies with Small and Large Rodent Models
12:59

Barnes Maze Testing Strategies with Small and Large Rodent Models

Published on: February 26, 2014

43.3K
Candidate Gene Testing in Clinical Cohort Studies with Multiplexed Genotyping and Mass Spectrometry
05:53

Candidate Gene Testing in Clinical Cohort Studies with Multiplexed Genotyping and Mass Spectrometry

Published on: June 21, 2018

10.5K
Author Spotlight: Evaluating the Adjuvant Efficacy and Safety of Angong Niuhuang Pill in Viral Encephalitis Treatment
08:36

Author Spotlight: Evaluating the Adjuvant Efficacy and Safety of Angong Niuhuang Pill in Viral Encephalitis Treatment

Published on: April 19, 2024

1.0K

Area of Science:

  • Clinical Trials Methodology
  • Epidemiology
  • Biostatistics

Background:

  • Stepped-wedge cluster randomized trials (SW-CRTs) are increasingly used for public health and clinical research.
  • SW-CRTs involve sequential randomization of clusters from control to intervention.
  • SW-CRTs present a higher risk of bias compared to parallel cluster randomized trials (parallel-CRTs).

Purpose of the Study:

  • To critically evaluate the justifications for employing SW-CRTs.
  • To identify conditions where SW-CRTs are appropriate despite increased bias risks.
  • To guide researchers in selecting the most robust study design.

Main Methods:

  • Analysis of bias risks associated with SW-CRT design, particularly concerning secular trend misspecification.
  • Review of CONSORT extension guidelines for SW-CRTs.
  • Comparison of SW-CRT advantages against parallel-CRT limitations.

Main Results:

  • SW-CRTs are susceptible to bias from misspecified secular trends, especially with few, heterogeneous clusters.
  • Appropriate justifications include enabling otherwise impossible randomized evaluations, enhancing recruitment, overcoming logistical constraints, and increasing statistical power with limited clusters.
  • The benefits of SW-CRTs must demonstrably outweigh their risks.

Conclusions:

  • SW-CRTs should be adopted based on clear methodological advantages, not just popularity or novelty.
  • Researchers must provide strong justifications for choosing SW-CRTs over parallel-CRTs.
  • Parallel-CRTs remain the preferred design when feasible due to lower bias risk.