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

Crossover Experiments01:16

Crossover Experiments

4.7K
Crossover experiments, also called the repeated-measurements design, is a study design in which all experimental units are exposed to all treatments in different periods. Crossover experiments are generally used in psychology, the pharmaceutical industry, agriculture, and medicine.
Crossover designs are performed even with smaller sample sizes since the samples can act as their controls. These are better than simple randomized trials since patients are exposed to all the treatments.
4.7K
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

376
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...
376
Bioequivalence Experimental Study Designs: Completely Randomized and Randomized Block Designs01:20

Bioequivalence Experimental Study Designs: Completely Randomized and Randomized Block Designs

360
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...
360
Wald-Wolfowitz Runs Test I01:17

Wald-Wolfowitz Runs Test I

1.0K
The Wald-Wolfowitz test, also known as the runs test, is a nonparametric statistical test used to assess the randomness of a sequence of two different types of elements (e.g., positive/negative values, successes/failures). It examines whether the order of the elements in a sequence is random or if there is a pattern or trend present. This nonparametric test applies to any ordered data despite the population and sample data distribution, even if a higher sample size is available.
The test works...
1.0K
Test Cross01:39

Test Cross

2.3K
2.3K
Test Cross01:39

Test Cross

44.6K
Alleles are different forms of the same gene. Humans and other diploid organisms inherit two alleles of every gene, one from each parent.
44.6K

You might also read

Related Articles

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

Sort by
Same author

A note on point estimation and interval estimation of the relative treatment effect under a simple crossover design.

Pharmaceutical statistics·2021
Same author

Urinary metabolites of furan in waterpipe tobacco smokers compared to non-smokers in home settings in the US.

Toxicology letters·2020
Same author

Exact Confidence Limits on Some New Measures of Concordance and Discordance in Binary Outcomes.

Therapeutic innovation & regulatory science·2020
Same author

Exact interval estimators for some commonly used measures of binary agreement.

Statistics in medicine·2019
Same author

Asymptotic and exact interval estimators of the common odds ratio under the sequential parallel comparison design.

Statistical methods in medical research·2018
Same author

Exact and asymptotic tests under the sequential parallel comparison design.

Pharmaceutical statistics·2018

Related Experiment Video

Updated: Mar 23, 2026

Frequency and Distribution of Crossovers in Caenorhabditis elegans Meiosis by SNP Genotyping using Real-time PCR
06:18

Frequency and Distribution of Crossovers in Caenorhabditis elegans Meiosis by SNP Genotyping using Real-time PCR

Published on: July 11, 2025

1.0K

Exact tests in binary data under an incomplete block crossover design.

Kung-Jong Lui1, Kuang-Chao Chang2

  • 11 Department of Mathematics and Statistics, College of Sciences, San Diego State University, San Diego, California, USA.

Statistical Methods in Medical Research
|March 24, 2016
PubMed
Summary

This study introduces novel statistical tests for incomplete block crossover designs, enhancing trial power and reducing duration. These methods effectively analyze binary data from three-treatment comparisons, proving reliable in simulations.

Keywords:
Exact testMantel-Haenszel summary testbinary dataincomplete blockpowertype I error

More Related Videos

Combined Immunofluorescence and DNA FISH on 3D-preserved Interphase Nuclei to Study Changes in 3D Nuclear Organization
13:55

Combined Immunofluorescence and DNA FISH on 3D-preserved Interphase Nuclei to Study Changes in 3D Nuclear Organization

Published on: February 3, 2013

19.1K
Competitive Genomic Screens of Barcoded Yeast Libraries
11:59

Competitive Genomic Screens of Barcoded Yeast Libraries

Published on: August 11, 2011

18.9K

Related Experiment Videos

Last Updated: Mar 23, 2026

Frequency and Distribution of Crossovers in Caenorhabditis elegans Meiosis by SNP Genotyping using Real-time PCR
06:18

Frequency and Distribution of Crossovers in Caenorhabditis elegans Meiosis by SNP Genotyping using Real-time PCR

Published on: July 11, 2025

1.0K
Combined Immunofluorescence and DNA FISH on 3D-preserved Interphase Nuclei to Study Changes in 3D Nuclear Organization
13:55

Combined Immunofluorescence and DNA FISH on 3D-preserved Interphase Nuclei to Study Changes in 3D Nuclear Organization

Published on: February 3, 2013

19.1K
Competitive Genomic Screens of Barcoded Yeast Libraries
11:59

Competitive Genomic Screens of Barcoded Yeast Libraries

Published on: August 11, 2011

18.9K

Area of Science:

  • Biostatistics
  • Clinical Trial Design
  • Statistical Modeling

Background:

  • Traditional crossover trials can be lengthy and lack statistical power.
  • Incomplete block crossover designs offer potential improvements in efficiency.
  • Analyzing binary outcomes in such designs requires robust statistical methods.

Purpose of the Study:

  • To develop and evaluate new statistical tests for incomplete block crossover designs.
  • To improve the statistical power and reduce the time length of crossover trials.
  • To provide methods for analyzing non-equality in binary data for three-treatment comparisons.

Main Methods:

  • Derivation of an exact test under a distribution-free random effects logistic regression model.
  • Development of a Mantel-Haenszel type summary test procedure.
  • Monte Carlo simulations to assess the performance of the proposed tests.

Main Results:

  • Both the exact test and the Mantel-Haenszel type test demonstrated good performance across various scenarios.
  • The proposed methods are effective for analyzing binary data in three-treatment comparisons within incomplete block crossover designs.
  • The study successfully illustrated the application of these tests using clinical trial data.

Conclusions:

  • The developed statistical tests are valuable tools for improving the efficiency of crossover trials.
  • These methods offer a reliable approach for analyzing binary data in complex trial designs.
  • The findings support the use of incomplete block crossover designs and the proposed analytical techniques in clinical research.