Advanced quantitative analysis

7.5 university credits.

Part-time 50%.

Join our comprehensive course to master regression models, including multivariable linear regression, binary logistic models, interaction terms, longitudinal data analysis, and multivariate techniques. Dive into R programming to craft statistical solutions tailored to your research needs. Don't miss this chance to elevate your statistical prowess for impactful studies!

Application opens Mar 15

Autumn 2024

Application opens Mar 15

  • Education level

    Advanced

  • Study pace

    50%

  • Teaching hours

    Day

  • Teaching form

    Campus

  • Start

    Autumn 2024, week 46

  • Teaching language

    English

  • Course plan

    GIH-MAKVAN
  • Course manager

    Rui Wang
  • Application code

    GIH-24F60

  • Entry requirements

    7.5 credits in statistics

  • Tuition fee

    For applicants with citizenship outside the EU/EEA and Switzerland:

    More information about tuition fees

About the course

Ever felt like your statistics knowledge falls short when tackling real problems? Uncertain where to begin with your analysis? Struggling to choose the right models for your statistical plan? Confused by concepts like confounding factors? Dealing with intervention studies involving repeated measurements without a clear strategy? Feeling overwhelmed by numerous variables? Eager to dive into statistical programming or coding? Welcome to our course, designed to address these challenges and equip you for confident statistical problem-solving!

Enroll in this course to gain extensive expertise in data organization, multivariable regressions, logistic regression, longitudinal analysis, and multivariate models, all taught within the framework of the R program. This course combines theoretical lectures using a flipped classroom approach with hands-on labs focusing on data processing and practical application. It fosters teacher-student interactions, providing a platform to address the challenges encountered in your projects. By exploring statistical models in epidemiological studies, this course cultivates critical thinking and enhances your abilities in data organization and program-based analysis

This course requests a foundational understanding of statistics, including concepts like correlation and univariate linear regression. It is tailored for beginners in academia seeking to cultivate quantitative research skills, and provides a solid foundation for developing statistical expertise.

Make the course better

As a student, you have the opportunity to take an active part in the work of developing our education. Read more about GIH's quality assurance work and take part in current course and programme evaluations.

On this page

Autumn 2024

Application opens Mar 15

  • Education level

    Advanced

  • Study pace

    50%

  • Teaching hours

    Day

  • Teaching form

    Campus

  • Start

    Autumn 2024, week 46

  • Teaching language

    English

  • Course plan

    GIH-MAKVAN
  • Course manager

    Rui Wang
  • Application code

    GIH-24F60

  • Entry requirements

    7.5 credits in statistics

  • Tuition fee

    For applicants with citizenship outside the EU/EEA and Switzerland:

    More information about tuition fees
Last modified:15 Jan 2024