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

A note on confidence bounds after fixed-sequence multiple tests.

Yi-Hsuan Tu1, Bin Cheng, Ying Kuen Cheung

  • 1Department of Statistics, National Cheng Kung University, 70101 Tainan, Taiwan.

Journal of Statistical Planning and Inference
|September 11, 2012
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

Identification of potential matrix metalloproteinase-2 inhibitors from natural products through advanced machine learning-based cheminformatics approaches.

Molecular diversity·2022
Same author

MHBSt<sup>167</sup> induced autophagy promote cell proliferation and EMT by activating the immune response in L02 cells.

Virology journal·2022
Same author

Knockdown of LncRNA NEAT1 inhibits myofibroblast activity in oral submucous fibrosis through miR-760/TPM1 axis.

Journal of dental sciences·2022
Same author

Coexistence of <i>bla</i> <sub>NDM-1</sub> and <i>bla</i> <sub>IMP-4</sub> in One Novel Hybrid Plasmid Confers Transferable Carbapenem Resistance in an ST20-K28 <i>Klebsiella pneumoniae</i>.

Frontiers in microbiology·2022
Same author

A review of the impacts of climate factors on humans' outdoor thermal perceptions.

Journal of thermal biology·2022
Same author

miR-138-5p Inhibits Vascular Mimicry by Targeting the HIF-1<i>α</i>/VEGFA Pathway in Hepatocellular Carcinoma.

Journal of immunology research·2022
Same journal

Comparing Adaptive Interventions under a General Sequential Multiple Assignment Randomized Trial Design via Multiple Comparisons with the Best.

Journal of statistical planning and inference·2026
Same journal

Variable Selection in Ultra-high Dimensional Feature Space for the Cox Model with Interval-Censored Data.

Journal of statistical planning and inference·2026
Same journal

On semi-supervised estimation using exponential tilt mixture models.

Journal of statistical planning and inference·2025
Same journal

Regression-Assisted Bayesian Record Linkage for Causal Inference in Observational Studies with Covariates Spread Over Two Files.

Journal of statistical planning and inference·2024
Same journal

Efficient inference of parent-of-origin effect using case-control mother-child genotype data.

Journal of statistical planning and inference·2024
Same journal

Distributed eQTL analysis with auxiliary information.

Journal of statistical planning and inference·2024
See all related articles

This study introduces an error-splitting method to estimate treatment effects at effective doses in dose-finding studies. This new approach offers simpler, sharper confidence bounds compared to existing methods while maintaining accuracy.

Area of Science:

  • Biostatistics
  • Clinical Trial Design
  • Pharmacometrics

Background:

  • Estimating treatment effects at effective doses is crucial in dose-finding studies.
  • Monotone dose-response allows identification of effective doses via minimum effective dose estimation.
  • Existing methods like the dose-response method have limitations in accounting for observed effect magnitudes.

Purpose of the Study:

  • To propose a novel error-splitting method for constructing confidence bounds at effective doses.
  • To improve upon the existing dose-response method by addressing its limitations.
  • To provide a statistically sound and practically useful tool for dose-finding studies.

Main Methods:

  • Utilizing a fixed-sequence multiple testing procedure.

Related Experiment Videos

  • Developing an error-splitting method as a variant of the dose-response method.
  • Constructing confidence bounds for treatment effects at identified effective doses.

    • Main Results:

    • The proposed error-splitting method maintains simplicity similar to the dose-response method.
    • The method preserves the nominal coverage probability.
    • The error-splitting method yields sharper confidence bounds than the dose-response method in most scenarios.

    Conclusions:

    • The error-splitting method is a valuable enhancement for estimating treatment effects in dose-finding studies.
    • This method offers improved precision in confidence bounds without compromising simplicity or coverage.
    • The findings support the adoption of the error-splitting method for more accurate dose-response assessments.