Saltar al contenido principal
InicioR

proyecto

Health Survey Data Analysis of BMI

Principiante
Updated 06/2024
Analyze health survey data to determine how BMI is associated with physical activity and smoking.
Iniciar proyecto de forma gratuita

Incluido conPremium or Teams

RManipulación de datosProbabilidad y estadística45 minutos11 Tasks1,500 XP2,392

Crea Tu Cuenta Gratuita

GoogleLinkedInFacebook

o

Al continuar, acepta nuestros Términos de uso, nuestra Política de privacidad y que sus datos se almacenan en los EE. UU.
Group

¿Entrenar a 2 o más personas?

Probar DataCamp for Business

Preferido por estudiantes en miles de empresas

Descripción del proyecto

Health Survey Data Analysis of BMI

Surveys are often used to study health behavior and determine the risks of disease. Meanwhile, seemingly every day, news outlets publish a different "research says" article about how to lose weight (fast! with no effort at all!). In this project, you will use survey data of ~20k people sampled from the United States to explore health behaviors associated with lower Body Mass Index (BMI), a standardized measure of healthy weight and obesity. Surveys with complex designs use special statistical methods to incorporate sampling weights and design factors into the estimation and inference. Incorporating survey design methods, you will use multiple regression to handle confounders when testing whether physical activity is associated with lower BMI. This project will use [National Health and Nutrition Examination Survey (NHANES)](https://www.cdc.gov/nchs/nhanes/index.htm) data from ~20,000 participants surveyed in years 2009-2012 found in the [NHANES R package](https://www.rdocumentation.org/packages/NHANES/versions/2.1.0/topics/NHANES).

Health Survey Data Analysis of BMI

Analyze health survey data to determine how BMI is associated with physical activity and smoking.
Iniciar proyecto de forma gratuita
  • 1

    Survey of BMI and physical activity

  • 2

    Visualize survey weight and strata variables

  • 3

    Specify the survey design

  • 4

    Subset the data

  • 5

    Visualizing BMI

  • 6

    Is BMI lower in physically active people?

  • 7

    Could there be confounding by smoking? (part 1)

  • 8

    Could there be confounding by smoking? (part 2)

  • 9

    Add smoking in the mix

  • 10

    Incorporate possible confounding in the model

  • 11

    What does it all mean?

Únete a más 15 millones de estudiantes y empezar Health Survey Data Analysis of BMI ¡Hoy!

Crea Tu Cuenta Gratuita

GoogleLinkedInFacebook

o

Al continuar, acepta nuestros Términos de uso, nuestra Política de privacidad y que sus datos se almacenan en los EE. UU.