Related Experiment Video
Updated: Dec 10, 2025

Performing Data Mining And Integrative Analysis Of Biomarker in Breast Cancer Using Multiple Publicly Accessible Databases
Published on: May 17, 2019
Logistic LASSO Regression for Dietary Intakes and Breast Cancer
Archana J McEligot1, Valerie Poynor2, Rishabh Sharma3
1Department of Public Health, California State University, Fullerton, CA 92834, USA.
Dietary vitamin B12 and alcohol consumption may be linked to breast cancer risk in women over 50. Further research is needed to confirm these associations and understand their impact on cancer development.
Area of Science:
- Nutrition Science
- Epidemiology
- Biostatistics
Background:
- Dietary factors are implicated in breast cancer, but evidence remains inconsistent.
- Identifying specific dietary associations requires robust statistical methods.
Purpose of the Study:
- To investigate associations between dietary intake and self-reported breast cancer in women aged 50 and older.
- To identify key dietary and lifestyle variables related to breast cancer using logistic LASSO regression.
Main Methods:
- Utilized data from the National Health and Nutrition Examination Survey (NHANES), 1999-2010.
- Applied logistic least absolute shrinkage and selection operator (LASSO) regression to analyze 29 variables.
- Compared dietary and risk factor data between women with (n=286) and without (n=1144) self-reported breast cancer.
Main Results:
- Age and parity remained significant risk factors for breast cancer.
- Higher vitamin B12 intake showed a positive association with self-reported breast cancer.
- Alcohol consumption was also associated with breast cancer, while caffeine intake was not significantly linked.
Conclusions:
- A diet rich in vitamin B12 and alcohol consumption may be associated with increased breast cancer risk in older women.
- Logistic LASSO regression effectively identified relevant dietary and lifestyle factors.
- Further prospective studies are recommended to validate these findings using advanced statistical approaches.
More Related Videos
Related Concept Videos
Statistical Methods for Analyzing Epidemiological Data
Cancer Survival Analysis
Comparing the Survival Analysis of Two or More Groups
The Mantel-Cox Log-Rank Test
Cancer Prevention
Some...
Parametric Survival Analysis: Weibull and Exponential Methods
Weibull Distribution
The Weibull distribution is a flexible model used in parametric survival analysis. It can handle both increasing and decreasing hazard rates, depending on its shape parameter...

