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

Agreement for curved data.

Jason J Z Liao1

  • 1Merck Research Laboratories, Merck & Co, Inc, West Point, Pennsylvania 19486, USA. jason_liao@merck.com

Journal of Biopharmaceutical Statistics
|March 31, 2005
PubMed
Summary
This summary is machine-generated.

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

Three steps toward dose optimization for oncology dose finding.

Contemporary clinical trials communications·2024
Same author

A gated group sequential design for seamless Phase II/III trial with subpopulation selection.

BMC medical research methodology·2023
Same author

A hybrid design for dose-finding oncology clinical trials.

International journal of cancer·2022
Same author

Mixture survival trees for cancer risk classification.

Lifetime data analysis·2022
Same author

Rejoinder to Letter to the Editor "The Hazards of Period Specific and Weighted Hazard Ratios".

Statistics in biopharmaceutical research·2021
Same author

Inferring latent heterogeneity using many feature variables supervised by survival outcome.

Statistics in medicine·2021
Same journal

Correction.

Journal of biopharmaceutical statistics·2026
Same journal

Leveraging external controls in clinical trials: estimands, estimation, assumptions.

Journal of biopharmaceutical statistics·2026
Same journal

Special issue of nonclinical statistics in regulatory applications guest editors' notes.

Journal of biopharmaceutical statistics·2026
Same journal

Comparison of flexible parametric modeling and nonparametric methods to estimate restricted mean survival time: A simulation study.

Journal of biopharmaceutical statistics·2026
Same journal

Simulated treatment comparisons with jackknife pseudo values for estimating population-adjusted marginal treatment effects.

Journal of biopharmaceutical statistics·2026
Same journal

Sample sizes for randomized controlled trials utilizing Bayesian response adaptive randomization for continuous outcomes.

Journal of biopharmaceutical statistics·2026
See all related articles

This study introduces an agreement curve to assess concordance in curved data, offering a more comprehensive analysis than single indices. This method provides accurate insights across various data conditions.

Area of Science:

  • Statistics
  • Data Analysis

Background:

  • Traditional agreement problems assess concordance of point measurements.
  • Curved data present unique challenges for agreement assessment.
  • Existing methods may not capture the full complexity of curved data agreement.

Purpose of the Study:

  • To propose a novel method for assessing agreement in curved data.
  • To develop an agreement curve that functions as a diagnostic tool.
  • To overcome limitations of single-index agreement measures.

Main Methods:

  • Proposed an agreement curve analogous to correlation coefficient curves.
  • Applied the method to a real-world dataset with curved observations.
  • Evaluated the agreement curve's performance across diverse data scenarios.

Related Experiment Videos

Main Results:

  • The agreement curve effectively measures concordance as a function of the independent variable.
  • The method demonstrated accurate assessment for curved data.
  • The approach provided enhanced information compared to traditional single indices.

Conclusions:

  • The proposed agreement curve is a valuable tool for analyzing curved data concordance.
  • This method offers a more robust and informative approach to agreement problems.
  • The findings highlight the importance of specialized methods for complex data structures.