Biostatistics I (2027)

Welcome to Biostatistics I

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.

Learning objectives:

The learning goals for Biostatistics 1 are: 1. Write a draft of an 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

Teaching methods:

The course is framed around developing a statistical analysis plan for each participants project. This will be supported by lectures, and group work. Additionally, ordinary lectures and exercises will be provided for learning core statistical principles and tests

Key literature:

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

Organizer: Carsten Dahl Mørch

Lecturers: Carsten Dahl Mørch

ECTS: 3.5

Date:

2, 9, 16, 30 March 2027

6, 13, 20 April 2027

4 May 2027

Place: Aalborg University

City: Aalborg

Maximal number of participants: 20

Open for enrolment: 2 November 2026

Deadline for enrolment: 9 February 2027

Important information concerning PhD courses:

There is 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 the 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 of the course.

For external PhD students: This course is a general course and is prioritized for PhD Students enrolled at Aalborg University. If there are available seats, PhD students from other universities will be accepted. You will be notified shortly after the deadline if you have been accepted.

To attend courses at the Doctoral School in Medicine, Biomedical Science and Technology you must be enrolled as a PhD student.

We cannot ensure any seats before the deadline for enrolment, all participants will be informed after the deadline, approximately 3 weeks before the start of the course.

You may find more information in our FAQ: https://phd.moodle.aau.dk/local/page/faq

For inquiries not described in the FAQ, please contact the PhD administration at phdcourses@adm.aau.dk. When contacting us please state the course title and course period. Thank you.