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 Experiment Videos

Biplots in biomedical research.

K R Gabriel1, C L Odoroff

  • 1Department of Statistics, University of Rochester, NY 14627.

Statistics in Medicine
|May 1, 1990
PubMed
Summary
This summary is machine-generated.

Biplots offer a simple, intuitive graphical method for exploring complex multivariate data in biomedical research. These visual tools aid in preliminary data inspection and residual analysis after formal statistical methods.

Related Concept Videos

You might also read

Related Articles

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

Sort by
Same author

Pediatric orthopedics: basic and not so basic.

Pediatric annals·2000
Same author

Risk factors for conduct disorder among Navajo Indian men and women.

Social psychiatry and psychiatric epidemiology·1999
Same author

Reconstructive surgery in children after meningococcal purpura fulminans.

Journal of pediatric surgery·1999
Same author

Alcohol dependence and conduct disorder among Navajo Indians.

Journal of studies on alcohol·1999
Same author

Minimally invasive anterior spinal exposure and release in children with scoliosis.

JSLS : Journal of the Society of Laparoendoscopic Surgeons·1999
Same author

Boarding and public schools: Navajo educational attainment, conduct disorder, and alcohol dependency.

American Indian and Alaska native mental health research : journal of the National Center·1998
Same journal

Optimal Weighted Tests for Replication Studies and the 'Two-Trials Rule' With Multiple Hypotheses.

Statistics in medicine·2026
Same journal

Identifiable Copula-Double-Cox Models: A Fully Parametric Framework for Dependent Right-Censored Survival Data.

Statistics in medicine·2026
Same journal

Moving From Individualized Risk-Based Prevention to Benefit-Based Prevention: Estimating Individualized Life-Years Gained From Prevention Services as a Basis for Eligibility.

Statistics in medicine·2026
Same journal

A Mixture of Distributed Lag Non-Linear Models to Account for Spatially Heterogeneous Exposure-Lag-Response Associations.

Statistics in medicine·2026
Same journal

Practical Considerations for Gaussian Process Modeling for Causal Inference in Quasi-Experimental Studies With Panel Data.

Statistics in medicine·2026
Same journal

Covariate Adjustment for Wilcoxon Two Sample Statistic and Test.

Statistics in medicine·2026
See all related articles

Area of Science:

  • Multivariate statistics
  • Biostatistics
  • Data visualization

Background:

  • Multivariate data analysis is crucial in biomedical research.
  • Effective visualization techniques are needed to interpret complex datasets.
  • Traditional methods may not always provide intuitive insights.

Purpose of the Study:

  • To introduce and illustrate the utility of biplots in biomedical research.
  • To highlight the advantages of biplots for data exploration and analysis.
  • To provide guidance on constructing and utilizing biplots.

Main Methods:

  • Graphical display of multivariate data using biplots.
  • Application of biplots to examples from biomedical research.
  • Demonstration of biplot use for preliminary data inspection and residual analysis.

Related Experiment Videos

Main Results:

  • Biplots provide a simple and intuitive graphical representation of multivariate data.
  • These displays facilitate the inspection of data before and after formal analysis.
  • Examples demonstrate the practical application in biomedical contexts.

Conclusions:

  • Biplots are valuable tools for understanding complex biomedical datasets.
  • Their intuitive nature aids researchers in data interpretation.
  • Biplots enhance both preliminary exploration and post-analysis inspection of data.