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...
Cluster Sampling Method01:20

Cluster Sampling Method

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...
Sampling Plans01:23

Sampling Plans

Sampling is a crucial step in analytical chemistry, allowing researchers to collect representative data from a large population. Common sampling methods include random, judgmental, systematic, stratified, and cluster sampling.
Random sampling is a method where each member of the population has an equal chance of being selected for the sample. It involves selecting individuals randomly, often using random number generators or lottery-type methods. For example, when analyzing the properties of a...
Group Design02:01

Group Design

The most basic experimental design involves two groups: the experimental group and the control group. The two groups are designed to be the same except for one difference— experimental manipulation. The experimental group gets the experimental manipulation—that is, the treatment or variable being tested—and the control group does not. Since experimental manipulation is the only difference between the experimental and control groups, we can be sure that any differences between the two are due to...
Random and Systematic Errors01:20

Random and Systematic Errors

Scientists always try their best to record measurements with the utmost accuracy and precision. However, sometimes errors do occur. These errors can be random or systematic. Random errors are observed due to the inconsistency or fluctuation in the measurement process, or variations in the quantity itself that is being measured. Such errors fluctuate from being greater than or less than the true value in repeated measurements. Consider a scientist measuring the length of an earthworm using a...
Random and Systematic Errors01:20

Random and Systematic Errors

Scientists always try their best to record measurements with the utmost accuracy and precision. However, sometimes errors do occur. These errors can be random or systematic. Random errors are observed due to the inconsistency or fluctuation in the measurement process, or variations in the quantity itself that is being measured. Such errors fluctuate from being greater than or less than the true value in repeated measurements. Consider a scientist measuring the length of an earthworm using a...

You might also read

Related Articles

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

Sort by
Same author

Interpreting higher-order dependence in multimorbidity using cohort data: A partial information decomposition approach.

PLoS computational biology·2026
Same author

Trajectories of social health, cognitive, and daily functioning in community-dwelling older adults.

Innovation in aging·2026
Same author

"You can't live for yourself, can you? That's just boring": perspectives on social health as a relational concept as described by community-dwelling older adults in a large Dutch city.

The Gerontologist·2026
Same author

How does social health impact cognitive function and brain reserve? Findings from the SHARED Consortium.

Ageing research reviews·2026
Same author

Shared Decision-Making Supported by Outcome Information During Discharge Planning of Patients Hospitalized With Stroke.

Neurology. Clinical practice·2025
Same author

Understanding hand grip measures in geriatric inpatients: associations with frailty, daily functioning and fatigue.

Aging clinical and experimental research·2025
Same journal

Harms Reporting Was Frequently Incomplete or Discordant in Biomedical Randomized Trials Published in 2023: A Meta-epidemiological Study.

Journal of clinical epidemiology·2026
Same journal

Using an Open Science Checklist in Grant Proposal Reviews to Predict Reproducibility of Funded Publications.

Journal of clinical epidemiology·2026
Same journal

A comparison of five statistical methods used to analyse longitudinal EORTC QLQ-C30 quality of life scores in randomised controlled trials: a simulation study.

Journal of clinical epidemiology·2026
Same journal

Sample Size Determination for Decision-centered Pragmatic Trials.

Journal of clinical epidemiology·2026
Same journal

Many multicenter randomized controlled trials do not account for center effect: a methodological review.

Journal of clinical epidemiology·2026
Same journal

Patient Acceptability of the Modified Zelen Approach to Randomized Trials - A Survey of the CAPS THA Cohort.

Journal of clinical epidemiology·2026
See all related articles

Related Experiment Videos

Pseudo cluster randomization performed well when used in practice.

René J F Melis1, S Teerenstra, M G M Olde Rikkert

  • 1Department of Geriatric Medicine, Radboud University Nijmegen Medical Centre, Nijmegen, The Netherlands. r.melis@ger.umcn.nl

Journal of Clinical Epidemiology
|June 14, 2008
PubMed
Summary
This summary is machine-generated.

Pseudo cluster randomization (PCR) effectively balanced groups and prevented bias in the EASYcare Study. This method performed well, showing no signs of unblinding or selection bias in clinical trials.

Related Experiment Videos

Area of Science:

  • Clinical Trials Methodology
  • Health Services Research

Background:

  • Cluster randomization risks selection bias, while individual randomization risks contamination.
  • Pseudo cluster randomization (PCR) was developed to mitigate these issues in clinical trials.

Purpose of the Study:

  • To evaluate the performance of pseudo cluster randomization (PCR) in the Dutch EASYcare Study.
  • To assess if PCR maintained group comparability and avoided unblinding or selection bias.

Main Methods:

  • Clinicians were randomized using PCR into high (H) or low (L) intervention proportion groups.
  • Data collected included clinician preferences, recruitment behavior, contamination, and perceived allocation ratios.
  • Patient baseline characteristics and clinician recruitment rates were compared between groups.

Main Results:

  • Groups were comparable at baseline.
  • Clinicians showed a preference for the intervention arm.
  • 58% of clinicians would recruit fewer patients in a control-only scenario, and 65% used intervention elements in control patients.
  • 67% of clinicians incorrectly estimated a 50:50 allocation ratio.

Conclusions:

  • The underlying assumptions of PCR were largely met in this study.
  • PCR performed satisfactorily, demonstrating no signs of unblinding or selection bias.
  • PCR is a viable alternative to traditional randomization methods in certain clinical settings.