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

Crossover designs and repeated measurements.

B Schneider

    Neuropsychobiology
    |January 1, 1983
    PubMed
    Summary
    This summary is machine-generated.

    This study presents a new statistical approach for analyzing crossover trial data, avoiding restrictive models. The method treats patient measurements as repeated data, offering more flexible analysis of treatment effects.

    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

    Transesophageal echocardiography to assess embolic risk in patients with atrial fibrillation. ELAT Study Group. Embolism in Left Atrial Thrombi.

    Annals of internal medicine·1998
    Same author

    [Symptomatic local therapy of the uncomplicated common cold. Multicenter controlled study of the effectiveness of an antiseptic lozenge].

    Fortschritte der Medizin·1998
    Same author

    Pre-steady state of reaction of nucleoside diphosphate kinase with anti-HIV nucleotides.

    The Journal of biological chemistry·1998
    Same author

    Role of Mg2+ in nucleoside diphosphate kinase autophosphorylation.

    Archives of biochemistry and biophysics·1998
    Same author

    Subdural hygromas after bone marrow transplantation: results of a prospective study.

    Transplantation·1998
    Same author

    [Hydro-CT in detection and staging of pancreatic carcinoma].

    Der Radiologe·1998
    Same journal

    Kynurenic Acid Offers Added Value in Predicting ECT Outcomes in Depression.

    Neuropsychobiology·2026
    Same journal

    Decreased Specific Pavlovian-to-Instrumental Transfer Effect in Internet Gaming Disorder Following Short-Term Abstinence from Gaming.

    Neuropsychobiology·2026
    Same journal

    Clinicians' Preferences and Attitudes Toward the Use of Lithium in the Treatment of Bipolar Disorders in Mexico.

    Neuropsychobiology·2026
    Same journal

    Prevalence of psychotic symptoms and their clinical correlates in elderly major depressive disorder patients with subclinical hypothyroidism.

    Neuropsychobiology·2026
    Same journal

    The Long- Term Course of Adolescent-Onset Major Depressive Disorder in Females: A 10-Year Cohort Study on Recurrence, Suicide Risk, and Service Use.

    Neuropsychobiology·2026
    Same journal

    Evidence on Deliberate Self-Harm, Suicidal Ideation and Suicides in Pakistan: A Scoping Review of Methods, Contributing Factors and Associated Mental Disorders.

    Neuropsychobiology·2026
    See all related articles

    Area of Science:

    • Biostatistics
    • Clinical Trial Design
    • Statistical Modeling

    Background:

    • Crossover and changeover designs are common in clinical trials.
    • Traditional analysis uses mixed analysis of variance models.
    • These models impose restrictive assumptions on data structure.

    Purpose of the Study:

    • To propose a more flexible statistical framework for analyzing crossover designs.
    • To avoid unrealistic restrictions imposed by traditional variance-covariance models.
    • To present parametric and nonparametric tests for hypothesis evaluation.

    Main Methods:

    • Treating experimental unit measurements as a multivariate random vector.
    • Characterizing experimental effects via the mean of this vector.

    Related Experiment Videos

  • Estimating treatment, period, and interaction effects from mean values.

    • Main Results:

    • The proposed multivariate approach avoids restrictive variance-co-variance assumptions.
    • General methods are discussed with parametric and nonparametric tests.
    • Detailed application to two-period crossover designs is provided.

    Conclusions:

    • The multivariate random vector approach offers a more realistic and flexible analysis for crossover trials.
    • This method enhances the ability to accurately assess treatment effects.
    • The approach is validated with a practical example.