Redefining standards for body mass index of the US population based on BRFSS data using mixtures

DOI10.1080/02664763.2016.1168366OpenAlexW2340701178MaRDI QIDQ5138527

Dragan Miljkovic, Saleem Shaik, Tatjana Miljkovic

Publication date: 4 December 2020

Published in: Journal of Applied Statistics (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1080/02664763.2016.1168366

zbMATH Keywords

mixturesobesityBMI

Mathematics Subject Classification ID

Applications of statistics to economics (62P20) Software, source code, etc. for problems pertaining to statistics (62-04) Applications of statistics to biology and medical sciences; meta analysis (62P10) Estimation in survival analysis and censored data (62N02)

Related Items (2)

Identifying subgroups of age and cohort effects in obesity prevalence ⋮ Predictive Modeling of Obesity Prevalence for the U.S. Population

Uses Software

• k.c

Cites Work

• Estimating the dimension of a model
• Fitting bivariate multilevel models to assess long-term changes in body mass index and cigarette smoking
• A new look at the statistical model identification

This page was built for publication: Redefining standards for body mass index of the US population based on BRFSS data using mixtures