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

Group Design02:01

Group Design

9.3K
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...
9.3K
Random Sampling Method01:09

Random Sampling Method

11.8K
Sampling is a technique to select a portion (or subset) of the larger population and study that portion (the sample) to gain information about the population. Data are the result of sampling from a population. The sampling method ensures 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. Among the various sampling methods used by...
11.8K
Randomized Experiments01:13

Randomized Experiments

6.3K
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...
6.3K
Blinding01:11

Blinding

2.9K
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.
2.9K
Random Error01:04

Random Error

8.3K
Random or indeterminate errors originate from various uncontrollable variables, such as variations in environmental conditions, instrument imperfections, or the inherent variability of the phenomena being measured. Usually, these errors cannot be predicted, estimated, or characterized because their direction and magnitude often vary in magnitude and direction even during consecutive measurements. As a result, they are difficult to eliminate. However, the aggregate effect of these errors can be...
8.3K
Strategies for Assessing and Addressing Confounding01:25

Strategies for Assessing and Addressing Confounding

596
Confounding is a critical issue in epidemiological studies, often leading to misleading conclusions about associations between exposures and outcomes. It occurs when the relationship between the exposure and the outcome is mixed with the effects of other factors that influence the outcome. Given that, addressing confounding is of high importance for drawing accurate inferences in research.
Confounding can be addressed at both the design phase of a study and through analytical methods after data...
596

You might also read

Related Articles

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

Sort by
Same author

Microbial and immune determinants of disease severity and death in pediatric pneumonia.

medRxiv : the preprint server for health sciences·2026
Same author

Competing-triggering effect models for multitype recurrent event data.

Biometrics·2026
Same author

Dynamic borrowing methods for basket trials with order restrictions.

Journal of biopharmaceutical statistics·2026
Same author

Respiratory syncytial virus positivity among hospital admissions for acute respiratory illness in children younger than 5 years of age in low- and middle-income countries: a systematic review and meta-analysis.

BMC public health·2026
Same author

PrecISE-a biomarker-stratified adaptive trial of 5 interventions in severe asthma: Final protocol and the baseline cohort.

The Journal of allergy and clinical immunology·2026
Same author

Design characteristics of sequential multiple assignment randomised trials (SMARTs) for human health: a scoping review of studies between 2009 and 2024.

BMJ open·2025

Related Experiment Video

Updated: May 2, 2026

Measuring the Subjective Value of Risky and Ambiguous Options using Experimental Economics and Functional MRI Methods
13:04

Measuring the Subjective Value of Risky and Ambiguous Options using Experimental Economics and Functional MRI Methods

Published on: September 19, 2012

11.6K

Minimizing predictability while retaining balance through the use of less restrictive randomization procedures.

Vance W Berger1, Anastasia Ivanova, Maria Deloria Knoll

  • 1National Cancer Institute, EPN, Suite 3131, 6130 Executive Boulevard, MSC-7354, Bethesda, MD 20892-7354, USA. vb78c@nih.gov

Statistics in Medicine
|September 16, 2003
PubMed
Summary

Restricted randomization in clinical trials can lead to selection bias. A new "maximal procedure" balances treatment groups while minimizing bias, offering improved trial integrity for cancer research.

More Related Videos

A Prediction Error-driven Retrieval Procedure for Destabilizing and Rewriting Maladaptive Reward Memories in Hazardous Drinkers
08:05

A Prediction Error-driven Retrieval Procedure for Destabilizing and Rewriting Maladaptive Reward Memories in Hazardous Drinkers

Published on: January 5, 2018

9.8K
Inverse Probability of Treatment Weighting Propensity Score using the Military Health System Data Repository and National Death Index
06:55

Inverse Probability of Treatment Weighting Propensity Score using the Military Health System Data Repository and National Death Index

Published on: January 8, 2020

14.3K

Related Experiment Videos

Last Updated: May 2, 2026

Measuring the Subjective Value of Risky and Ambiguous Options using Experimental Economics and Functional MRI Methods
13:04

Measuring the Subjective Value of Risky and Ambiguous Options using Experimental Economics and Functional MRI Methods

Published on: September 19, 2012

11.6K
A Prediction Error-driven Retrieval Procedure for Destabilizing and Rewriting Maladaptive Reward Memories in Hazardous Drinkers
08:05

A Prediction Error-driven Retrieval Procedure for Destabilizing and Rewriting Maladaptive Reward Memories in Hazardous Drinkers

Published on: January 5, 2018

9.8K
Inverse Probability of Treatment Weighting Propensity Score using the Military Health System Data Repository and National Death Index
06:55

Inverse Probability of Treatment Weighting Propensity Score using the Military Health System Data Repository and National Death Index

Published on: January 8, 2020

14.3K

Area of Science:

  • Clinical Trials Methodology
  • Biostatistics
  • Oncology

Background:

  • Ensuring baseline similarity in treatment groups is crucial for interpreting clinical trial results.
  • Restricted randomization methods are used to prevent confounding of treatment effects with time effects.
  • However, restricted randomization can inadvertently create predictable treatment allocation patterns, leading to selection bias, particularly in unmasked trials.

Purpose of the Study:

  • To address the limitations of the randomized block procedure in simultaneously controlling for selection and chronological bias.
  • To introduce and detail the development of a novel allocation concealment method: the maximal procedure.
  • To enhance the robustness of clinical trial designs against bias.

Main Methods:

  • The study evaluated the trade-offs between selection bias and chronological bias in restricted randomization.
  • A new procedure, termed the 'maximal procedure,' was developed.
  • This procedure matches the chronological bias protection of the randomized block procedure but with fewer restrictions.

Main Results:

  • The randomized block procedure was found insufficient for simultaneously protecting against selection and chronological bias in a specific non-small-cell lung cancer trial.
  • The maximal procedure was developed to mitigate this issue.
  • The maximal procedure demonstrates greater resistance to selection bias compared to the randomized block procedure due to its less restrictive nature.

Conclusions:

  • The maximal procedure offers improved protection against selection bias in clinical trials.
  • This method enhances the integrity of treatment group comparisons.
  • The maximal procedure represents a significant advancement in randomization techniques for clinical research, particularly in oncology.