Search research articles

ABOUT JoVE

Overview Leadership Blog JoVE Help Center

AUTHORS

Publishing Process Editorial Board Scope & Policies Peer Review FAQ Submit

LIBRARIANS

Testimonials Subscriptions Access Resources Library Advisory Board FAQ

RESEARCH

JoVE Journal Methods Collections JoVE Encyclopedia of Experiments Archive

EDUCATION

JoVE Core JoVE Business JoVE Science Education JoVE Lab Manual Faculty Resource Center Faculty Site

Terms & Conditions of Use

Related Concept Videos

Regression Toward the Mean

Regression Toward the Mean

Regression toward the mean (“RTM”) is a phenomenon in which extremely high or low values—for example, and individual’s blood pressure at a particular moment—appear closer to a group’s average upon remeasuring. Although this statistical peculiarity is the result of random error and chance, it has been problematic across various medical, scientific, financial and psychological applications. In particular, RTM, if not taken into account, can interfere when researchers try to extrapolate results...

Testing a Claim about Standard Deviation

Testing a Claim about Standard Deviation

A complete procedure to test a claim about population standard deviation or population variance is explained here.
The hypothesis testing for the claim of population standard deviation (or variance) requires the data and samples to be random and unbiased. The population distribution also must be normal. There is no specific requirement on the sample size as the estimation is based on the chi-square distribution.
As a first step, the hypothesis (null and alternative) concerning the claim about...

Multiple Regression

Multiple Regression

Multiple regression assesses a linear relationship between one response or dependent variable and two or more independent variables. It has many practical applications.
Farmers can use multiple regression to determine the crop yield based on more than one factor, such as water availability, fertilizer, soil properties, etc. Here, the crop yield is the response or dependent variable as it depends on the other independent variables. The analysis requires the construction of a scatter plot...

Mechanistic Models: Compartment Models in Individual and Population Analysis

Mechanistic Models: Compartment Models in Individual and Population Analysis

Mechanistic models are utilized in individual analysis using single-source data, but imperfections arise due to data collection errors, preventing perfect prediction of observed data. The mathematical equation involves known values (Xi), observed concentrations (Ci), measurement errors (εi), model parameters (ϕj), and the related function (ƒi) for i number of values. Different least-squares metrics quantify differences between predicted and observed values. The ordinary least squares (OLS)...

Study Designs in Epidemiology

Study Designs in Epidemiology

Epidemiological study designs are fundamental tools for investigating the distribution, determinants, and control of health conditions in populations. They help researchers understand the relationships between exposures and outcomes, and they broadly fall into two categories: "observational" and "experimental" studies.
Observational studies are those where the researcher does not intervene but rather observes natural variations. They include cross-sectional, cohort, and case-control studies.

Truncation in Survival Analysis

Truncation in Survival Analysis

Truncation in survival analysis refers to the exclusion of individuals or events from the dataset based on specific criteria related to the time of the event. This exclusion can happen in two primary forms: left truncation and right truncation.
Left truncation occurs when individuals who experienced the event of interest before a certain time are not included in the study. This is often due to a "delayed entry" into the study where only those who survive until a certain entry point are observed.

You might also read

Related Articles

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

Sort by

Same author

PDA (Privacy-Preserving Distributed Algorithms) in action: ten principles for high-quality multi-site clinical evidence generation.

Journal of the American Medical Informatics Association : JAMIA·2026

Same author

Nonparametric Density Estimation of a Long-Term Trend from Repeated Semicontinuous Data.

Journal of the American Statistical Association·2026

Same author

Total Sugars Misreporting in Self-Reported 24-Hour Recalls in the Study of Latinos: Nutrition and Physical Activity Assessment Study.

The Journal of nutrition·2026

Same author

Generative AI-assisted Bayesian-frequentist Hybrid Inference in Single-cell RNA Sequencing Analysis for Genes Associated with Alzheimer's Disease.

medRxiv : the preprint server for health sciences·2026

Same author

Application of the Total Nutrient Index as a Precision Nutrition Tool to Address Dietary Recommendations Across the Life Course.

Journal of the Academy of Nutrition and Dietetics·2026

Same author

Five misconceptions about categorizing exposure variables measured with error in epidemiological research.

American journal of epidemiology·2026

Search research articles

Related Experiment Video

Updated: Jun 30, 2026

'Boden Food Plate': Novel Interactive Web-based Method for the Assessment of Dietary Intake

'Boden Food Plate': Novel Interactive Web-based Method for the Assessment of Dietary Intake

Published on: September 18, 2018

Binary regression in truncated samples, with application to comparing dietary instruments in a large prospective

Douglas Midthune¹, Victor Kipnis, Laurence S Freedman

¹Biometry Research Group, Division of Cancer Prevention, National Cancer Institute, Executive Plaza North, Room 3131, 6130 Executive Boulevard, MSC 7354, Bethesda, MD 20892-7354, USA. dm76q@nih.gov

|July 27, 2007

Summary

This study found a significant link between dietary fat intake and breast cancer in women using a food record (FR). The food record (FR) was also more effective than the food frequency questionnaire (FFQ) for detecting this relationship.

More Related Videos

Iterative Development of an Innovative Smartphone-Based Dietary Assessment Tool: Traqq

Iterative Development of an Innovative Smartphone-Based Dietary Assessment Tool: Traqq

Published on: March 19, 2021

Related Experiment Videos

Last Updated: Jun 30, 2026

'Boden Food Plate': Novel Interactive Web-based Method for the Assessment of Dietary Intake

'Boden Food Plate': Novel Interactive Web-based Method for the Assessment of Dietary Intake

Published on: September 18, 2018

Iterative Development of an Innovative Smartphone-Based Dietary Assessment Tool: Traqq

Iterative Development of an Innovative Smartphone-Based Dietary Assessment Tool: Traqq

Published on: March 19, 2021

Area of Science:

Nutritional epidemiology
Cancer research
Biostatistics

Background:

Investigating the link between dietary fat and breast cancer is crucial for public health.
Comparing dietary assessment tools like food frequency questionnaires (FFQ) and food records (FR) is essential for accurate nutritional epidemiology.

Purpose of the Study:

To analyze the relationship between dietary fat intake and breast cancer risk.
To compare the effectiveness of food frequency questionnaires (FFQ) and food records (FR) in assessing dietary fat intake and its association with breast cancer.

Main Methods:

Utilized data from women in the control group of the Women's Health Initiative (WHI) Clinical Trial.
Developed and applied approximate logistic regression methods for analyzing truncated data (dietary fat >= 32% of calories).
Compared the performance of food frequency questionnaires (FFQ) and food records (FR) for dietary assessment.

Main Results:

A statistically significant association between dietary fat intake and breast cancer was observed when using food records (FR).
Food records (FR) demonstrated a marginally significant advantage over food frequency questionnaires (FFQ) in detecting the fat-breast cancer relationship.
The developed approximate methods were efficient and simple to compute for analyzing truncated dietary data.

Conclusions:

Dietary fat intake may be significantly related to breast cancer risk.
Food records (FR) may be a more powerful tool than food frequency questionnaires (FFQ) for detecting such associations in specific populations.
The applied statistical methods are effective for handling challenges in nutritional epidemiology data analysis.