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

Allowing for dose-estimation errors for the A-bomb survivor data.

D A Pierce1, D L Preston, D O Stram

  • 1Oregon State University.

Journal of Radiation Research
|March 1, 1991
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

Radiation Dose and Solid Cancer Mortality Risk in the Techa River and East Urals Radioactive Trace Cohorts in 1950-2016.

Radiation research·2025
Same author

Comparison of All Solid Cancer Mortality and Incidence Dose-Response in the Life Span Study of Atomic Bomb Survivors, 1958-2009.

Radiation research·2022
Same author

Reduced mesiodistal tooth dimension in individuals with osteogenesis imperfecta: a cross-sectional study.

Acta odontologica Scandinavica·2020
Same author

Preferred Reporting items for OBservational studies in Endodontics (PROBE) guidelines: a development protocol.

International endodontic journal·2020
Same author

PRIRATE 2020 guidelines for reporting randomized trials in Endodontics: a consensus-based development.

International endodontic journal·2020
Same author

Diagnostic accuracy of cone beam computed tomography used for assessment of apical periodontitis: an ex vivo histopathological study on human cadavers.

International endodontic journal·2018
Same journal

Mid-treatment MRI-based tumor volume reduction rate as a continuous prognostic factor after chemoradiation for cervical cancer: development and two-center internal-external validation.

Journal of radiation research·2026
Same journal

Setting the radiological baseline: measuring natural radioactivity (226Ra, 232Th, 40K) in agricultural soils of Farta District, Ethiopia, and assessing potential health risks.

Journal of radiation research·2026
Same journal

A model-based selection of oral cancer patient for passive scattering proton beam therapy.

Journal of radiation research·2026
Same journal

For ultra-high dose rate carbon-ion irradiation, comparable beam parameters induce the equivalent cell sparing (FLASH) effect.

Journal of radiation research·2026
Same journal

Radiation effects of a CT scan on chromosomal aberrations in cancer and non-cancer patients.

Journal of radiation research·2026
Same journal

Acute skin toxicity and cosmesis outcome in non-metastatic breast cancer patients treated with ultrahypofractionated radiotherapy: a randomized controlled phase II clinical trial comparing proton versus photon radiotherapy.

Journal of radiation research·2026
See all related articles

Random errors in radiation dose estimates bias risk assessments and distort dose-response relationships. Statistical methods can mitigate these biases, but require understanding of error magnitudes for accurate interpretation of radiogenic effects.

Area of Science:

  • Radiation dosimetry
  • Biostatistics
  • Epidemiology

Background:

  • Random errors in radiation dose estimates can lead to significant biases in risk assessment.
  • These errors distort dose-response curves and create spurious associations between health outcomes.
  • Accurate interpretation of radiation effects necessitates addressing these dosimetry uncertainties.

Purpose of the Study:

  • To discuss the statistical implications of dose-estimation errors in radiation research.
  • To present statistical methodologies for reducing biases caused by these errors.
  • To evaluate the sensitivity of results to assumptions about error magnitudes.

Main Methods:

  • Review of statistical principles related to dose-estimation errors.
  • Presentation of statistical methods designed to correct for dosimetry uncertainties.

Related Experiment Videos

  • Sensitivity analyses to assess the impact of varying error assumptions.

    • Main Results:

    • Uncorrected errors lead to underestimation of linear risk and distorted dose-response curves.
    • Spurious associations between radiogenic endpoints are exaggerated by dose errors.
    • The effectiveness of statistical methods depends on accurate assumptions about error characteristics.

    Conclusions:

    • Addressing random errors in radiation dose estimates is crucial for accurate risk assessment.
    • Statistical methods offer a means to correct for dosimetry biases.
    • Understanding the statistical basis of these methods is essential for researchers and dosimetrists.