Welcome to Biostatistics II
Description:
This course on biostatistics will focus on the complexity of data collected in biomedical research. Therefore, the course will focus on topics like sample size estimation, meta-analysis and multi-factorial methods. This course will consist of two parts: (i) a review of some well-known and widely used parametric and non-parametric methods and discussions of basic designs of experimental studies, and (ii) a practical part where the focus is on applying the methods to relevant and realistic data sets collected from medical and biomedical research.
The aim of the Biostatistics 2 is that you after the course will have written a full statistical analysis plan, analysed at least part of your data and written a preliminary result section and made a do-file in Stata (or another statistical software) for documentation of any statistical procedures that you have used. If you do not have any data to analyze, you should contact course leader, Carsten Dahl Mørch asap and describe the type of data you expect to have in your Ph.D and we will find a dataset for you to analyze. A short description of what should be contained in the SAP can be found in the attached files.
The learning goals for Biostatistics 2 are:
1: Write a full statistical analysis plan and understand how you can implement it to analyse your data
2: The ability to understand the assumptions and perform the following statistical tests:
Multifactorial ANOVA
Repeated measures ANOVA
Multiple and non-linear regression
Survival Analysis
3: Understand power and sample-size calculation (sample-size considerations), and perform then in the context of your own studies
4: Understand and perform meta-analyses in systematic reviews.
For the evaluation of Biostatistics II, we will attempt to get as close to your projects as possible. We hope that you will be able to use some of the statistical tools from the course and use them in the context of your own project. You should hand in the SAP in due time to allow for one of the three teachers and some of your fellow students to read and provide you with questions and feedback. You will also read and evaluate SAPs form some of your fellow students. You will present your SAP on the last day of the course.
Literature: Selected papers and book chapters will be announced to the participants shortly before the course.
Prerequisites: Biostatistics I or similar knowledge on biostatistics
Evaluation: Evaluation of the course will be based on written reports of selected exercises.
Organizer: Associate Professor Carsten Dahl Mørch, e-mail: cdahl@hst.aau.dk
Lecturers:
ECTS: 4.5
Time: 4, 8, 11, 15, 18, 22 November and 6 December 2019, from 8:15 - 12:00
Place: Fredrik Bajers Vej 7E, room 3-109
Zip code: 9220
City: Aalborg Øst
Number of seats: 35
Deadline: 14 October 2019
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 5,000 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 three 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.
Description:
This course on biostatistics will focus on the complexity of data collected in biomedical research. Therefore, the course will focus on topics like sample size estimation, meta-analysis and multi-factorial methods. This course will consist of two parts: (i) a review of some well-known and widely used parametric and non-parametric methods and discussions of basic designs of experimental studies, and (ii) a practical part where the focus is on applying the methods to relevant and realistic data sets collected from medical and biomedical research.
The aim of the Biostatistics 2 is that you after the course will have written a full statistical analysis plan, analysed at least part of your data and written a preliminary result section and made a do-file in Stata (or another statistical software) for documentation of any statistical procedures that you have used. If you do not have any data to analyze, you should contact course leader, Carsten Dahl Mørch asap and describe the type of data you expect to have in your Ph.D and we will find a dataset for you to analyze. A short description of what should be contained in the SAP can be found in the attached files.
The learning goals for Biostatistics 2 are:
1: Write a full statistical analysis plan and understand how you can implement it to analyse your data
2: The ability to understand the assumptions and perform the following statistical tests:
Multifactorial ANOVA
Repeated measures ANOVA
Multiple and non-linear regression
Survival Analysis
3: Understand power and sample-size calculation (sample-size considerations), and perform then in the context of your own studies
4: Understand and perform meta-analyses in systematic reviews.
For the evaluation of Biostatistics II, we will attempt to get as close to your projects as possible. We hope that you will be able to use some of the statistical tools from the course and use them in the context of your own project. You should hand in the SAP in due time to allow for one of the three teachers and some of your fellow students to read and provide you with questions and feedback. You will also read and evaluate SAPs form some of your fellow students. You will present your SAP on the last day of the course.
Literature: Selected papers and book chapters will be announced to the participants shortly before the course.
Prerequisites: Biostatistics I or similar knowledge on biostatistics
Evaluation: Evaluation of the course will be based on written reports of selected exercises.
Organizer: Associate Professor Carsten Dahl Mørch, e-mail: cdahl@hst.aau.dk
Lecturers:
ECTS: 4.5
Time: 4, 8, 11, 15, 18, 22 November and 6 December 2019, from 8:15 - 12:00
Place: Fredrik Bajers Vej 7E, room 3-109
Zip code: 9220
City: Aalborg Øst
Number of seats: 35
Deadline: 14 October 2019
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 5,000 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 three 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.
- Teacher: Carsten Dahl Mørch
- Teacher: Michael Skovdal Rathleff