Course Basic Biostatistics - part 2 (four days)

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ECTS: 6.4

Course leader: Erik Thorlund Parner

Language: English

Graduate school: Faculty of Health

Graduate program: PH

Course fee: 7,680.00 DKK

Status: Course is finished

Semester: Spring 2022

Application deadline: 02/03/2022

Cancellation deadline: 16/03/2022

Course type: Classroom teaching

Start date: 30/03/2022

Administrator: Christina Bak Bekhøi Christensen

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ECTS for the course is not included

ECTS for the courses Biostatistics part 1 and part 2 ARE NOT INCLUDEDin the ECTS calculation of the course calendar, but will, of course, be included in your total ECTS obligation. Therefore, the courses Biostatistics part 1 and part 2 will not prevent you from taking more courses in the course calendar.

NB!

Requires knowledge of the topics of Part 1.

Exam

The course will be finished with an exam that needs to be passed in order to obtain a course diploma.

Please note

Participating in PhD courses on advanced statistical topics including Statistical Analysis of Time to Event Data, Linear regression models for continuous and binary data, Analysis of variance and repeated measurements and Applied Statistical Analysis with Missing Data requires completion of ‘Basic Biostatistic’ part 1 and 2 (former known as ‘Basic Biostatistic’ (8 days)) or similar.

The course, P1050/37 Basic Biostatistics - part 2, is being offered by the Graduate School of Health, Aarhus University, spring 2022.

Criteria for participation: University degree in medicine, dentistry, nursing, or Master’s degree in other fields and/or postgraduate researc fellows (PhD students and research-year medical students).

Aim: The course provides an introduction to more advanced statistical models and analyzes in medical research

Learning outcomes:

  1. Document and handle data needed for a statistical analysis
  2. Chose a relevant statistical model for a given research question and evaluate the assumptions of the statistical analysis
  3. Perform a statistical analysis based on the chosen model
  4. Describe the results of the statistical analysis, and discuss the results in relation to the scientific question

Content: Correlation, analysis of variance and covariance, linear regression and binary regression. Simple survival analysis. Model diagnostics.

We reccomend you bring your own laptop.

Instructor: Professor Erik Thorlund Parner

Prerequisites: The course material is based on the statistical package Stata and R. It is necessary to attend a short introductory course in Stata or R unless you are already familiar with this program. Users of other statistical packages can also attend the course, but you need to be familiar with the alternative statistical package. Knowledge of the topics of Part 1 is also a prerequisite. The participants should expect to spend some time each week preparing for the course lectures and working on the exercises. Reserve one additional day each week for this.

Venue:

Theory: 9.15-12.00 Auditorium A, Building1162-013, Ole Worms Allé 4, 8000 Aarhus C

Exercises:13.00- 16.00 Victor Albeck building 1265, Vennelyst Blvd 4, 8000 Aarhus C.

Participation in the course is without cost for:

  • PhD students, Research Year students and Research Honours Programme students from Aarhus University
  • PhD students enrolled at partner universities of the Nordoc network
  • PhD students from other institutions in the open market agreement for PhD courses

Course dates:

  • 30 March 2022 09:15 - 16:00
  • 06 April 2022 09:15 - 16:00
  • 22 April 2022 09:15 - 16:00
  • 27 April 2022 09:15 - 16:00