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

Stepwise confidence intervals for monotone dose-response studies.

Jianan Peng1, Chu-In Charles Lee2, Karelyn A Davis3

  • 1Department of Mathematics and Statistics, Acadia University, Wolfville, Nova Scotia, B4P 2R6 Canada.

Biometrics
|January 8, 2008
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

Chiral superfluorescence from perovskite superlattices at room temperature.

Nature·2026
Same author

Inhalable viromimetic polymer nanoparticle vaccine (iVPNVax) in a subcutaneous-prime/inhalation-boost vaccination schedule for eliciting durable mucosal and systemic immune protection.

Biomaterials science·2026
Same author

Polygonatum sibiricum Alleviates Salivary Gland Dysfunction in Sjögren's Syndrome via CHRM3/AQP5 Axis Potentiation.

Planta medica·2026
Same author

A novel exact confidence interval for the difference of proportions in paired data using a restricted most probable statistic.

Biometrics·2026
Same author

Highly Efficient and Selective Hydrogenation of Cinnamaldehyde over Pt Nanoparticles and Single Atoms on Co<sub>2</sub>AlO<sub>4</sub> under Mild Conditions.

Langmuir : the ACS journal of surfaces and colloids·2026
Same author

Tyrosol effectively improves spermatogenesis recovery by S100A9/TLR4/NF-κB pathway in busulfan-induced oligozoospermia mice.

PeerJ·2026
Same journal

Fast penalized generalized estimating equations for large longitudinal functional datasets.

Biometrics·2026
Same journal

Causally-interpretable random-effects meta-analysis.

Biometrics·2026
Same journal

Statistical inference for mean function of partially observed functional time series.

Biometrics·2026
Same journal

Subgroup identification via Interaction Tree and Mixed Model for Repeated Measures with application to Alzheimer's disease.

Biometrics·2026
Same journal

Finite mixtures of linear quantile regressions with concomitant variables: a solution to endogeneity in longitudinal data modeling.

Biometrics·2026
Same journal

Discussion on "INTACT: a method for integration of longitudinal physical activity data from multiple sources" by Jingru Zhang, Erjia Cui, Hongzhe Li, and Haochang Shou.

Biometrics·2026
See all related articles

Identifying the minimum effective dose (MED) is crucial in dose-response studies. This research refines methods to pinpoint the lowest dose yielding a clinically significant improvement over control, assuming monotonic dose-response curves.

Area of Science:

  • Biostatistics
  • Pharmacometrics
  • Statistical Inference

Background:

  • Dose-response studies are essential for determining optimal drug dosages.
  • Identifying the minimum effective dose (MED) is a key challenge.
  • Existing methods for MED identification often rely on step-down test procedures.

Purpose of the Study:

  • To improve upon existing statistical methods for identifying the minimum effective dose (MED).
  • To implement and evaluate the Hsu and Berger (1999) dose-response method.
  • To construct lower confidence bounds for mean response differences under monotonicity.

Main Methods:

  • Utilized a step-down test procedure based on contrasts among sample means.
  • Improved upon the Marcus and Peritz (1976) methodology.

Related Experiment Videos

  • Implemented the Hsu and Berger (1999) dose-response method for confidence bound construction, assuming monotonicity.

    • Main Results:

    • Developed a refined statistical approach for MED identification.
    • Demonstrated the method's application through numerical examples.
    • Simulation studies provided power comparisons for the proposed method.

    Conclusions:

    • The proposed method offers an improved approach to identifying the minimum effective dose (MED) in dose-response studies.
    • The method effectively constructs lower confidence bounds under the monotonicity assumption.
    • The findings contribute to more precise determination of effective drug dosages.