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

Statistical methods for hazards and health.

Y M Bishop

    Environmental Health Perspectives
    |October 1, 1977
    PubMed
    Summary
    This summary is machine-generated.

    Environmental research requires advanced statistical methods and more statisticians. This study highlights needs in data analysis, time series, and regression for better environmental health insights.

    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

    Air pollution and human health: a review and reanalysis.

    Environmental health perspectives·1980
    Same author

    Respiratory disease rates and pulmonary function in children associated with NO2 exposure.

    The American review of respiratory disease·1980
    Same author

    Effects of sulfur oxides and respirable particles on human health. Methodology and demography of populations in study.

    The American review of respiratory disease·1979
    Same author

    Combination chemotherapy of advanced lymphocytic lymphoma. Importance of histologic classification in evaluating response.

    Cancer·1974
    Same author

    Computer program for localization of disulfide bonds in proteins.

    International journal of peptide and protein research·1974
    Same author

    Effects of collapsing multidimensional contingency tables.

    Biometrics·1971
    Same journal

    A New Start.

    Environmental health perspectives·2026
    Same journal

    Time-Varying Exposure to Element Mixtures and Children's Cognition at 5 Years of Age: Findings from the New Hampshire Birth Cohort Study.

    Environmental health perspectives·2026
    Same journal

    Effect of Household Air Pollution on the Gut Microbiome and Virome of Adult Women Living in Uganda.

    Environmental health perspectives·2026
    Same journal

    Comparison of Temperature-Mortality Associations across the Middle East Using Different Exposure Estimation Approaches.

    Environmental health perspectives·2026
    Same journal

    Workflow for Statistical Analysis of Environmental Mixtures.

    Environmental health perspectives·2026
    Same journal

    Effects of Extreme Heat Exposure on Heatstroke and Liver Injury in Mice: The Role of PPARα.

    Environmental health perspectives·2026
    See all related articles

    Area of Science:

    • Environmental Science
    • Biostatistics
    • Epidemiology

    Background:

    • Statistical methodology is crucial for environmental research but requires advancement.
    • Effective communication between statisticians and environmental researchers is often lacking.
    • Current statistical approaches may not fully address complex environmental data.

    Purpose of the Study:

    • To identify the need for enhanced statistical methodology in environmental research.
    • To emphasize the necessity for increased training of statisticians in this field.
    • To promote improved collaboration between statisticians and environmental scientists.

    Main Methods:

    • Review of current statistical methodologies in environmental research.
    • Analysis of challenges in three key areas: enumeration data, time series, and multiple regression.

    Related Experiment Videos

  • Use of examples to illustrate statistical method limitations and potential solutions.

    • Main Results:

    • Identified gaps in statistical approaches for analyzing environmental exposure and health data.
    • Highlighted the importance of time-dependent factors in pollution and health effect analyses.
    • Discussed limitations in multiple regression and introduced robust alternative techniques.

    Conclusions:

    • Further development of statistical methods is essential for environmental research.
    • Increased training and better communication are vital for advancing the field.
    • Adoption of advanced statistical techniques can improve understanding of environmental health impacts.