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

Meta-analysis in clinical trials.

R DerSimonian, N Laird

    Controlled Clinical Trials
    |September 1, 1986
    PubMed
    Summary
    This summary is machine-generated.

    This study introduces a random effects model to analyze treatment efficacy across multiple trials, accounting for effect heterogeneity. This approach improves the reliability of evidence synthesis for medical treatments.

    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

    Polygenic risk for schizophrenia and neurocognitive performance in patients with schizophrenia.

    Genes, brain, and behavior·2017
    Same author

    Evidence for an association of the dopamine D5 receptor gene on age at onset of attention deficit hyperactivity disorder.

    Annals of human genetics·2007
    Same author

    Univariate and multivariate family-based association analysis of the IL-13 ARG130GLN polymorphism in the Childhood Asthma Management Program.

    Genetic epidemiology·2002
    Same author

    Impact of overweight on the risk of developing common chronic diseases during a 10-year period.

    Archives of internal medicine·2001
    Same author

    Genetic association analysis of behavioral inhibition using candidate loci from mouse models.

    American journal of medical genetics·2001
    Same author

    Predicting asthma severity from allergic sensitivity to cockroaches in pregnant inner city women.

    The Journal of reproductive medicine·2000
    Same journal

    On the generation and ownership of alpha in medical studies.

    Controlled clinical trials·2004
    Same journal

    An analysis of the effect of funding source in randomized clinical trials of second generation antipsychotics for the treatment of schizophrenia.

    Controlled clinical trials·2004
    Same journal

    Symptom recording in a randomised clinical trial: paper diaries vs. electronic or telephone data capture.

    Controlled clinical trials·2004
    Same journal

    Statistical comparison of random allocation methods in cancer clinical trials.

    Controlled clinical trials·2004
    Same journal

    Analyzing bronchodilation with emphasis on disease type, age and sex.

    Controlled clinical trials·2004
    Same journal

    Geographic variability in patient characteristics, treatment and outcome in an International Trial of Magnesium in acute myocardial infarction.

    Controlled clinical trials·2004
    See all related articles

    Area of Science:

    • Biostatistics
    • Clinical Trial Analysis
    • Evidence Synthesis

    Background:

    • Published reviews often pool trial results without assessing treatment effect homogeneity.
    • Inconsistent homogeneity assessment can impact the reliability of treatment efficacy evaluations.

    Purpose of the Study:

    • To propose a random effects approach for combining evidence from multiple trials.
    • To incorporate heterogeneity of treatment effects into the analysis of overall efficacy.
    • To offer a method for characterizing the distribution of treatment effects.

    Main Methods:

    • Examined eight published reviews of related clinical trials.
    • Discussed a random effects model for meta-analysis of treatment comparisons.
    • Proposed a noniterative procedure for analyzing treatment effect distributions.

    Related Experiment Videos

    Main Results:

    • The random effects model accounts for heterogeneity in treatment effects.
    • The model can be extended with covariates to reduce heterogeneity.
    • A simple procedure for characterizing treatment effect distributions is suggested.

    Conclusions:

    • A random effects approach enhances the analysis of treatment efficacy by incorporating effect heterogeneity.
    • This method allows for more precise therapeutic recommendations through covariate inclusion.
    • The proposed procedure offers a straightforward way to understand treatment effect variability.