Course Basic Biostatistics - part 2

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ECTS: 4

Course leader: Erik Thorlund Parner

Language: English

Graduate school: Faculty of Health

Graduate program: PH

Course fee: 4,800.00 DKK

Status: Course is finished

Semester: Fall 2023

Application deadline: 07/09/2023

Cancellation deadline: 21/09/2023

Course type: Classroom teaching

Start date: 05/10/2023

Administrator: Anne Fabricius

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Important!

Participation requires knowledge of the topics of Part 1.

Waiting list

Applicants are initially placed on a waiting list. Seats are allocated ad hoc up until the application deadline. Seats are offered to applicants who meets the course prerequisites, and according to standard course seating rules.

Exam

The course will be finished with a take-home exam which will be handed out the last exercise day, at 16:00 p.m. The Course leader will inform you of the details. The exam needs to be passed, in order to obtain 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.

ECTS not included

ECTS for the courses Biostatistics part 1 and part 2 ARE NOT INCLUDED in 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.

The course P1050/40 Basic Biostatistics Part 2 is being offered by the Graduate School of Health, Aarhus University, fall 2023.

ECTS for the course is not included ECTS for the courses Biostatistics part 1 and part 2 ARE NOT INCLUDED in 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 a take-home exam.

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.

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

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

Prerequisites: The course is for users of either the statistical package Stata or R. It is necessary to attend a short introductory course in Stata or R unless you are already familiar with this program. 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 1.5 additional day each week for this

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

Workload: The full workload of the course is expected to be 99 hours.

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

Instructors: Professor Erik Thorlund Parner

Venue:

Theory: Ole Worms Allé, 8000 Aarhus C

Exercises: Victor Albeck building, 8000 Aarhus C.

We recommend that you bring your own laptop.

Participation in the course is without cost for:

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

 

 

Course dates:

  • 05 October 2023 09:15 - 16:00
  • 11 October 2023 09:15 - 16:00
  • 25 October 2023 09:15 - 16:00
  • 01 November 2023 09:15 - 16:00