3 months
Duration
1685 EUR/full
1685 EUR/full
Unknown
Tuition fee
Unknown
Apply date
Unknown
Start date

About

This online Classical Methods in Data Analysis course from Utrecht University, offered by the MSc Epidemiology program of the UMC Utrecht and Utrecht University, provides an understanding of the basic applications of biostatistics in the analysis of medical research data.

Visit the official programme website for more information

Overview

Topics are: types of data, location and variability measures, samples and populations, distributions, confidence intervals, hypothesis testing, comparing two or more means or proportions (parametric and non-parametric methods), and relationships between two variables (correlation, simple linear regression). The Classical Methods in Data Analysis course from Utrecht University also includes an extensive discussion of the multiple linear regression model. This is an ideal course for anyone who wishes to further his medical education by getting a better understanding of data analysis.

Learning objectives

By the end of the course you will...

  • have insight in the √n law and its consequences for sample size
  • have insight in the general principles of decision procedures (“testing”), and be able to apply these procedures in practice using common statistical packages (SPSS, R)
  • understand the principles of the following statistical analysis techniques: Student T tests (1-sample, 2-sample and paired), Analysis of Variance (1-way and 2-way ANOVA), Simple and multiple linear regression analysis, 1-sample, 2-sample and paired proportion tests (χ 2 test for goodness-of-fit, Pearson’s χ 2 test and McNemar’s χ 2 test)
  • know in which situations these techniques can be applied and the conditions that should be met to obtain reliable results using these techniques
  • be able to apply these techniques using common statistical packages (SPSS, R)
  • have insight in the Kolmogorov Smirnov test (normal distribution) and the Fisher test for equality of variances and be able to apply these tests in practice using common statistical packages (SPSS, R)

Programme Structure

Topics are: 

  • Types of data
  • Location and variability measures
  • Samples and populations
  • Distributions
  • Confidence intervals
  • Hypothesis testing
  • Comparing two or more means or proportions (parametric and non-parametric methods)
  • Relationships between two variables (correlation, simple linear regression). 

Key information

Duration

  • Part-time
    • 3 months
    • 14 hrs/week

Start dates & application deadlines

More details

Enrollment deadline 26 Apr, 22 Nov

Language

English

Credits

6 ECTS

Delivered

Online

Academic requirements

We are not aware of any academic requirements for this programme.

English requirements

We are not aware of any English requirements for this programme.

Other requirements

General requirements

To enroll in this course you need:

  • A BSc degree
  • To have participated in an introductory statistics course
  • A sufficient proficiency in English reading and writing

Tuition Fee

To alway see correct tuition fees
  • International

    1685 EUR/full
    Tuition Fee
    Based on the tuition of 1685 EUR for the full programme during 3 months.
  • EU/EEA

    1685 EUR/full
    Tuition Fee
    Based on the tuition of 1685 EUR for the full programme during 3 months.

Funding

Studyportals Tip: Students can search online for independent or external scholarships that can help fund their studies. Check the scholarships to see whether you are eligible to apply. Many scholarships are either merit-based or needs-based.

Fresh content

Updated in the last 6 months

Check the official programme website for potential updates.

Our partners

Classical Methods in Data Analysis
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Utrecht University

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