Description: This is a basic course in statistics, and it focuses on the application of statistics to describe and analyze data (i.e., descriptive, and inferential statistics). The course will use different examples from e.g., medicine, biology, and biomedical engineering and focus on the application of statistics to describe data and test hypotheses, and less so on the underlying mathematical calculations.

The examples during the course will be based on different research designs that are commonly used across different research field. To ensure that we make it as specific as possible for your specific Ph.D.-project, you will work with your own statistical analysis plan (SAP) throughout the course. First you will work in smaller groups on your SAP together with colleagues working with similar research projects, next you will get feedback on your SAP, and then you will present your SAP and receive feedback from a larger group.

This course will consist of four parts: (i) relevant description and presentation of data pending your data type (ii) a review of some well-known and widely used parametric and non-parametric methods and discussions of basic designs of experimental studies, (iii) application of the statistical methods for hypothesis testing, and (iiii) developing a statistical analysis plan (SAP) for your research project.

The learning goals for Biostatistics 1 are:

  1. Write a draft of a SAP for your own research project. 
  2. The ability to understand the assumptions and perform the following statistical tests:
    - Descriptive statistic
    - Probability distributions
    - Estimation
    - Hypothesis testing - parametric tests
    - Non-parametric tests
    - One-way ANOVA
    - Cross-tabulations
    - Regression and correlation

B. Kirkwood, J. Sterne, “Essential medical statistics”. Plus handouts.


We will mainly use SPSS and Stata. They software packages can be downloaded from here: 

Organizer: Carsten Dahl Mørch

ECTS: 3,5

March 8, 10, 15, 17, 22, 24, and April 5th, 2022 all days 8.15 to 12.00

Place: Aalborg University

Zip code: 

City: Aalborg

Number of seats: 30

Deadline: March 7, 2022

Important information concerning PhD courses: We have over some time experienced problems with no-show for both project and general courses. It has now reached a point where we are forced to take action. Therefore, the Doctoral School has decided to introduce a no-show fee of DKK 3.000 for each course where the student does not show up. Cancellations are accepted no later than 2 weeks before start of the course. Registered illness is of course an acceptable reason for not showing up on those days. Furthermore, all courses open for registration approximately four months before start. This can hopefully also provide new students a chance to register for courses during the year. We look forward to your registrations.