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 Concept Videos

Biological Effects of Radiation02:59

Biological Effects of Radiation

All radioactive nuclides emit high-energy particles or electromagnetic waves. When this radiation encounters living cells, it can cause heating, break chemical bonds, or ionize molecules. The most serious biological damage results when these radioactive emissions fragment or ionize molecules. For example, α and β particles emitted from nuclear decay reactions possess much higher energies than ordinary chemical bond energies. When these particles strike and penetrate matter, they produce ions...
Censoring Survival Data01:09

Censoring Survival Data

Survival analysis is a statistical method used to analyze time-to-event data, often employed in fields such as medicine, engineering, and social sciences. One of the key challenges in survival analysis is dealing with incomplete data, a phenomenon known as "censoring." Censoring occurs when the event of interest (such as death, relapse, or system failure) has not occurred for some individuals by the end of the study period or is otherwise unobservable, and it might have many different reasons...
Assumptions of Survival Analysis01:15

Assumptions of Survival Analysis

Survival models analyze the time until one or more events occur, such as death in biological organisms or failure in mechanical systems. These models are widely used across fields like medicine, biology, engineering, and public health to study time-to-event phenomena. To ensure accurate results, survival analysis relies on key assumptions and careful study design.
Types of Biopharmaceutical Studies: Controlled and Non-Controlled Approaches01:23

Types of Biopharmaceutical Studies: Controlled and Non-Controlled Approaches

Biopharmaceutical studies constitute a vital field aiming to enhance drug delivery methods and refine therapeutic approaches, drawing upon diverse interdisciplinary knowledge. In research methodologies, the choice between controlled and non-controlled studies significantly influences the study's reliability and accuracy.
Non-controlled studies, commonly employed for initial exploration, lack a control group, rendering them susceptible to biases and external influences. In contrast, controlled...
Propagation of Uncertainty from Systematic Error01:10

Propagation of Uncertainty from Systematic Error

The atomic mass of an element varies due to the relative ratio of its isotopes. A sample's relative proportion of oxygen isotopes influences its average atomic mass. For instance, if we were to measure the atomic mass of oxygen from a sample, the mass would be a weighted average of the isotopic masses of oxygen in that sample. Since a single sample is not likely to perfectly reflect the true atomic mass of oxygen for all the molecules of oxygen on Earth, the mass we obtain from this particular...
Estimating Population Mean with Unknown Standard Deviation01:22

Estimating Population Mean with Unknown Standard Deviation

In practice, we rarely know the population standard deviation. In the past, when the sample size was large, this did not present a problem to statisticians. They used the sample standard deviation s as an estimate for σ and proceeded as before to calculate a confidence interval with close enough results. However, statisticians ran into problems when the sample size was small. A small sample size caused inaccuracies in the confidence interval.
William S. Gosset (1876–1937) of the Guinness...

You might also read

Related Articles

Articles linked to this work by shared authors, journal, and citation graph.

Sort by
Same author

Long-term prognosis for teeth with external cervical resorption based on periapical images and cone beam CT: A clinical study.

International endodontic journal·2024
Same author

The use of medicaments in the management of symptomatic irreversible pulpitis: A community-based cohort study.

International endodontic journal·2024
Same author

Longitudinal study of endodontic and periapical status of an adult Danish population examined in 2009, 2014, and 2019: a repeated cohort study.

Acta odontologica Scandinavica·2023
Same author

PROBE 2023 guidelines for reporting observational studies in endodontics: Explanation and elaboration.

International endodontic journal·2023
Same author

Root filled teeth in two parallel Danish cohorts: A repeated longitudinal cohort study.

International endodontic journal·2023
Same author

PROBE 2023 guidelines for reporting observational studies in Endodontics: A consensus-based development study.

International endodontic journal·2022

Related Experiment Video

Updated: Jul 4, 2026

Expedited Radiation Biodosimetry by Automated Dicentric Chromosome Identification (ADCI) and Dose Estimation
10:33

Expedited Radiation Biodosimetry by Automated Dicentric Chromosome Identification (ADCI) and Dose Estimation

Published on: September 4, 2017

Allowance for random dose estimation errors in atomic bomb survivor studies: a revision.

Donald A Pierce1, Michael Vaeth, John B Cologne

  • 1Division of Biostatistics, Department of Public Health, Oregon Health Sciences University, Portland, Oregon 97239-3098, USA. pierce.don.a@gmail.com

Radiation Research
|June 28, 2008
PubMed
Summary

New statistical methods improve radiation dose estimates for atomic bomb survivors. These advancements enhance accuracy for cancer risk assessments, even with revised dosimetry systems.

More Related Videos

Irradiator Commissioning and Dosimetry for Assessment of LQ α and β Parameters, Radiation Dosing Schema, and in vivo Dose Deposition
06:20

Irradiator Commissioning and Dosimetry for Assessment of LQ α and β Parameters, Radiation Dosing Schema, and in vivo Dose Deposition

Published on: March 11, 2021

An Automated Microscopic Scoring Method for the γ-H2AX Foci Assay in Human Peripheral Blood Lymphocytes
08:23

An Automated Microscopic Scoring Method for the γ-H2AX Foci Assay in Human Peripheral Blood Lymphocytes

Published on: December 25, 2021

Related Experiment Videos

Last Updated: Jul 4, 2026

Expedited Radiation Biodosimetry by Automated Dicentric Chromosome Identification (ADCI) and Dose Estimation
10:33

Expedited Radiation Biodosimetry by Automated Dicentric Chromosome Identification (ADCI) and Dose Estimation

Published on: September 4, 2017

Irradiator Commissioning and Dosimetry for Assessment of LQ α and β Parameters, Radiation Dosing Schema, and in vivo Dose Deposition
06:20

Irradiator Commissioning and Dosimetry for Assessment of LQ α and β Parameters, Radiation Dosing Schema, and in vivo Dose Deposition

Published on: March 11, 2021

An Automated Microscopic Scoring Method for the γ-H2AX Foci Assay in Human Peripheral Blood Lymphocytes
08:23

An Automated Microscopic Scoring Method for the γ-H2AX Foci Assay in Human Peripheral Blood Lymphocytes

Published on: December 25, 2021

Area of Science:

  • Radiation epidemiology
  • Statistical modeling
  • Dosimetry science

Background:

  • Radiation Effects Research Foundation (RERF) follows atomic bomb survivors.
  • Radiation dose estimates have inherent imprecision.
  • A recent revision of the RERF dosimetry system necessitates re-evaluation of statistical methods.

Purpose of the Study:

  • To evaluate recent statistical methodology for improving radiation dose estimates in A-bomb survivors.
  • To assess the impact of the revised RERF dosimetry system on statistical approaches.
  • To introduce new formulas for dose error analysis.

Main Methods:

  • Application of recent statistical methodology to RERF dosimetry data.
  • Development of new formulas explicitly incorporating dose estimation errors and true dose distributions.
  • Analysis considering both classical and Berkson-type dose error components.

Main Results:

  • New statistical methodology, not the dosimetry revision itself, warrants changes in analysis methods.
  • New formulas provide explicit results based on assumptions about dose errors and distributions.
  • Indirect evidence suggests potential underestimation of dose errors in previous methods.

Conclusions:

  • Recent statistical methods offer improved approaches for analyzing radiation dose imprecision in A-bomb survivors.
  • The new methodology accommodates complex error structures, including classical and Berkson-type errors.
  • Cancer risk estimates show relative insensitivity to plausible variations in dose error assumptions.