Accéder au contenu principal
AccueilR

projet

Health Survey Data Analysis of BMI

Débutant
Updated 06/2024
Analyze health survey data to determine how BMI is associated with physical activity and smoking.
Démarrer le projet gratuitement

Inclus avecPremium or Teams

RManipulation des donnéesProbabilités et statistiques45 minutes11 Tasks1,500 XP2,392

Créez votre compte gratuit

GoogleLinkedInFacebook

ou

En continuant, vous acceptez nos Conditions d'utilisation, notre Politique de confidentialité et le fait que vos données sont stockées aux États-Unis.
Group

Formation de 2 personnes ou plus ?

Essayer DataCamp for Business

Apprécié par les apprenants de milliers d’entreprises

Description du projet

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.
Démarrer le projet gratuitement
  • 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?

Inscrivez-vous 15 millions d’apprenants et commencer Health Survey Data Analysis of BMI Aujourd’hui!

Créez votre compte gratuit

GoogleLinkedInFacebook

ou

En continuant, vous acceptez nos Conditions d'utilisation, notre Politique de confidentialité et le fait que vos données sont stockées aux États-Unis.