• Description:

    The course is an introduction to the concept of individualized strategies in cancer treatment. The course will focus on the development of precision medicine in haematological malignancies, but the ideas and techniques discussed are relevant to other cancer diseases.

                                         

    Techniques and methods introduced and discussed at the course are; Biobanking, Flourescent cell sorting, in vitro models, Gene expression measurements and Next Generation Sequencing of RNA and DNA. The development of predictive and prognostic classifiers based on gene expression levels will be presented. Bioinformatic tools to analyze large datasets are presented generally. Design of clinical validation trials of precision medicine will be presented and discussed.

     

    Therefore, the course is aimed at PhD students working with clinical and translational cancer research in general.

     

    Literature: Selected papers, distributed one month before the course dates.

     

    Evaluation: Active participation and presentation of selected scientific papers.



  • Organizer: Clinical Professor Hans E Johnsen, e-mail: haej@rn.dk and Senior Research Scientist Julie S. Bødker, e-mail: j.boedker@rn.dk

  • Lecturers:

    From Department of Clinical Medicine, Aalborg University Hospital: 

    • Clinical Professor Hans E Johnsen
    • Professor Karen Dybkær
    • Professor Martin Bøgsted
    • Clinical Associate Professor Tarec El-Galaly 
    • Post doc Anna A Schönherz

     

    From Department of Haematology, Aalborg University Hospital:

    • Senior Research Scientist Julie S Bødker
    • Senior Bioinformatician Rasmus F Brøndum
    • Bioinformatician Mads Sønderkær
    • Flow cytometry core manager, Alexander Schmitz

     

    And other invited external speakers

  • ECTS: 3

  • Time: November 8th-10th 2017

  • Place: Klitgården

  • Zip code: 9990

  • City: Skagen

  • Number of seats: 15

  • Deadline: October 15th

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:

    The manuscript phase of research is feared by many. How do I get started with the writing process – and how do I reach the end? I have so many data, how should I organize my work? The course introduces the manuscript phase from above (how to get organized, things to consider before you start writing, how to outline a readable papers, as well as practical issues with each section of the IMRAD structure). The course covers topics such as: To which journal should I submit my manuscript – who are the target readers? How do I write a good Introduction, how do I describe how we did the experiments, how shall I present my data, and how do I write an excellent Discussion? The course will also cover the process of preparing your manuscript for submission (instructions to authors), the submission phase, how to handle editorial decisions and revisions, proof-reading, and the final issues with publishing. 

    Literature
    Class material will be uploaded, but a must for the course and many years beyond is:  Hall GM (ed). How to write a paper. BMJ Books, Wiley-Blackwell, 5th edition, 2008 (150 pages, 265 DKK).

    Prerequisites
    Basic knowledge of medical science and the IMRAD way of producing papers. The value of the course is optimal if the participant has prior experience with medical writing and/or works with a current manuscript.

    Evaluation
    Exam and oral/written evaluation.

  • Organizer: Professor, Lars Jelstrup lajp@rn.dk

  • Lecturers: Professor Lars J. Petersen & Consultant Helle D. Zacho, Department of Nuclear Medicine, Aalborg University Hospital.

  • ECTS: 0,8

  • Time: September 28th 2017

  • Place: The auditorium, Forskningens Hus, Klinisk Institut, Sdr Skov Vej, 9000 Aalborg.

  • Zip code: 9000

  • City: Aalborg

  • Number of seats:

  • Deadline: 7 September 2017

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:

    Evidence-based medicine (EBM) is central in offering patients the most appropriate diagnostic tests, evaluation of prognostic factors, and selection of relevant therapeutic regimens. Despite an increasing knowledge of EBM, implementation of EBM in guidelines, health care policies and daily clinical life is a challenge. This course addresses evidence-based medicine from general concepts, asking answerable questions, searching for primary and secondary high level evidence documentation, appraisal of evidence in therapeutics and beyond, an overview of performing a systematic meta-analysis, and implementation of EBM in daily life, instructions and guidelines, and national recommendations. The course will provide the participants with an advanced understanding of EBM to enable them to improve the use of EBM in science, research and clinical activities. 

     

    Literature:

    Course material will be uploaded to Moodle. An excellent, brief (100 pages) introduction to the subject is: Henegan C, Badenoch D (editors). Evidence-based Medicine Toolkit. 2nd edition. BMJ Books. Blackwell Publishing. 2006. Another recommended source is Straus SE et al (editors). Evidence-based medicine. How to practice and teach it. Chruchill Livinstone, 4th edition, 2011 (300 pages).  

    Prerequisites:

    A basic understanding of medical research, statistics, and clinical trials. A clinical approach is optimal. 

    Evaluation:

    Exam and oral/written evaluation.

  • Organizer: Professor, Lars Jelstrup lajp@rn.dk

  • Lecturers: Professor Lars J. Petersen & Consultant Helle D. Zacho,                           Department of Nuclear Medicine, Aalborg University Hospital. 

  • ECTS: 1,6

  • Time: December 14th and 15th 2017

  • Place: Room 106, Forskningens Hus, Klinisk Institut, Sdr Skov vej, 9000 Aalborg.

  • Zip code: 9000

  • City: Aalborg

  • Number of seats:

  • Deadline:

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:

The course aims to provide a comprehensive review of clinical research with emphasis on how to design and how to perform a clinical study and thus give the participant the necessary tools to perform clinical trials. The course contains a comprehensive review on how to plan and perform clinical trials involving humans. Different designs (the randomized controlled trial and other designs including more specialized designs) are reviewed and the planning of a clinical trial is presented. Power calculations are reviewed in detail in order to provide the participant with the necessary tools to give an estimate of the number of subjects needed for a clinical trial. Methods (biochemical methods, diagnostic tests, reliability, coefficient of variation etc.) are reviewed and concepts such as evidence based medicine, collaboration with the medical industry, the legal aspects of a clinical trial (how to write a contract, legal obligations etc.), how to review a paper, practical aspects of biobanks, and how to perform meta-analyses are covered. Emphasis is put on practical exercises related to the topics mentioned above along with lectures. See also the detailed program for the course.


Organizer:

Professor, consultant, PhD DrMedSc Peter Vestergaard, e-mail: pev@dcm.aau.dk 

Lecturers:

Peter Vestergaard, Lars Jelstrup Petersen, Louise Bornebusch Lund, Morten Hjulsager, Louise Hansen, Mette Grønkjær, Søren Risom Kristensen, Henrik Krarup, Jesper Karmisholt, Bodil Steen Rasmussen

Literature:

https://booksfree4u.tk/download-designing-of-clinical-research-4th-edition-ebook-pdf-free/

ECTS: 3,2

Time: December 4th - 7th 2017

Place: Aalborg University

Zip code: 9220

City: Aalborg Ø

Number of seats:

Deadline: 13 November 2017

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 will provide the participants with hands-on experience in creating and handling data from questionnaires, registers and other sources, and to document the data management and analyses in accordance with the Code of Conduct/UVVU recommendations.

    The course provides an overview of the audit trail and hands on experience using EpiData Manager and Entry Client to create and input datasets ready for statistical analyses with the accompanying documentation including labelling, double entry, error corrections and data modification.

    Participants already using RedCAP or Survey-Exact may use those programs for management and documentation.

    Regardless of the software used for statistical analyses (for instance SPSS, STATA, SAS or R) participants will learn how to document the analyses in command files. Participants will be expected to work on data documentation of own or provided data between the two lessons.

    The possibilities to deposit datasets with personal identification in DDA and the conditions for this will be covered.

    Before the course a questionnaire about the use of and experience with various statistical software will be distributed.

    Literature: Selected papers and book chapters.

    Evaluation: Active participation and created data documentation.

  • Organizer: Associate Professor Henrik Bøggild, e-mail: boggild@hst.aau.dk

  • Lecturers: Associate Professor Henrik Bøggild, Public Health and Epidemiology Group, Health Science and Technology, Aalborg University

  • ECTS: 1,5

  • Time: September 20th and 27th 2017

  • Place: Aalborg University

  • Zip code: 9220

  • City: Aalborg

  • Number of seats: 30

  • Deadline:

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 deals with basic principles of epidemiology and will prepare the students for further courses in advanced epidemiology. The course will consist of lectures and group-work based on scientific papers.

    The main themes are:

    • Descriptive studies
    • Measures of associations
    • Observational design, including cross-sectional studies, cohort studies, case control studies
    • Experimental studies (randomized controlled trials)
    • Sources of information for epidemiological studies
    • Issues of precision
    • Issues of validity, including bias and confounding
    • Applications of epidemiology in different areas, including clinical epidemiology


  • Organizer: Kirsten Fonager, Ph.D, associate professor, Henrik Bøggild, Ph.D, associate professor

  • Lecturers: Kirsten Fonager, Ph.D, associate professor, Henrik Bøggild, Ph.D, associate professor and others

  • ECTS: 3,2

  • Time: October 2nd - 3rd and 9th - 10th 2017

  • Place: Aalborg University

  • Zip code: 9220

  • City: Aalborg Ø

  • Number of seats:

  • Deadline:

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:

    The objective of this course is to give the participants a case based introduction to an important tool in biomedical research – statistical software, Stata. Based on real data from medical research projects the intent is to give the participants an insight into the process of transforming raw data into output that is suitable for a publication. During the course the participants will be introduced to the following possibilities in Stata:

    1. How to load data.

    2. How to prepare data for analysis.

    3. How to run analysis.

    4. How to manage output.

    5. How to present results.

    6. How to learn more.


    The course will consist of both plenum presentations and hands-on exercises.

  • Organizer:

    Søren Lundbye-Christensen

  • Lecturers:
    Søren Lundbye-Christensen, PhD Senior Biostatistician, Aalborg University Hospital & Mette Dahl Bendtsen, Biostatistician   

  • ECTS: 0,8

  • Time: Autumn 2017

  • Place:

  • Zip code: 9000

  • City:

  • Number of seats:

  • Deadline:

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 provides a case-based introduction to universal notions encountered in quantitative clinical research. The focus is on conceptual understanding and intuition rather than specific techniques and calculations. Participants will gain insight into how to translate a clinical question into a statistical question - and how to translate the statistical answer back into a clinically meaningful result. Participants will also become more proficient at reading and assessing the quality of medical research papers that rely on statistics.

     

    Topics covered will include the following:

    1) Using statistics effectively in the student's research

    2) Effect measures and confidence intervals

    3) Hypothesis testing and P-values

    Literature: To be announced    

    Prerequisites: None

    Evaluation: Active participation

  • Organizer: Søren Lundbye-Christensen, PhD, senior biostatistician

  • Lecturers: Søren Lundbye-Christensen, PhD, senior biostatistician og Anders Gorst-Rasmussen, PhD, senior biostatistician

  • ECTS: 1,6

  • Time: October 24th-25th 2017

  • Place: Forskningens Hus, Sdr. Skovvej 15, room 018

  • Zip code: 9000

  • City:

  • Number of seats:

  • Deadline:

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:

    Essentially all statistical problems can be formulated as regression problems: the problem of quantifying the relationship between a dependent variable and one or more independent variables. Surprisingly many statistical problems encountered in clinical practice can be succesfully handled with a small set of "core regression techniques", alongside an understanding of the rationale and limitations of statistical regression in general. The present course is a case-based introduction to these core regression techniques, with an emphasis on common features rather than differences.
    Upon completion of the course, the student will be able to perform basic regression analyses in a suitable statistical software program. The student will also obtain a broad foundation for learning and applying other and more advanced regression techniques.


    Topics covered will include the following:

    • From research question to regression analysis
    • Simple linear regression
    • The t-test
    • Multivariable regression (adjustment)
    • Analysis of variance
    • Regression in small samples
    • An introduction to logistic regression

     

    Software:

    The course includes computer practical exercises. Examples will be provided in Stata syntax but other relevant software packages can be used for exercises.

     

    Evaluation:

    Evaluation of the course will be based on active participation in the course including a practical exercise which is to be handed in after the course.

  • Organizer:

    Søren Lundbye-Christensen

  • Lecturers:

    Søren Lundbye-Christensen, PhD, Senior Biostatistician

    Martin Berg Johansen, MSc, Biostatistician

  • ECTS: 2,4

  • Time: March 23 and 30, and April 6. All days 8.30 - 15.30.

  • Place: Nordkraft, Kjellerups Torv 1, room 3.3.17

  • Zip code: 9000

  • City: Aalborg

  • Number of seats:

  • Deadline: 2 March 2017.

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:

    The course is aimed at doctoral students and researchers in the health sciences, seeking to increase their knowledge of effective and explorative information search tools and strategies as well as handling the information and publishing their work in relevant journals. The course uses a mixture of lectures and hands-on training to improve the skills of the students. The training sessions will allow the students to use their own information needs.

    The course will cover the following topics:
    Health scientific literature searching: Starting from a theoretical view on research topics in connection with search strategies, the student will learn to use tools such as PICO to formulate structured search queries for use in bibliographic literature databases such as PubMed and Embase. Also the differences between various health-related databases will be discussed, allowing the student to choose appropriate sources rather than relying on just one. As examples of useful databases, there will be training in PubMed and Embase, using structured queries with the MeSH and EMTREE tools. The students will learn to document literature searches and create a protocol in accordance with the PRISMA statement. Other databases, such as CINAHL and PsycInfo, can be included in the training sessions. The final part of the topic will cover the acquisition of full-text documents from the results in above mentioned databases.

    Reference handling:
    Inserting and formatting references in a manuscript can be tedious work if done manually. Tools like RefWorks and Mendeley can automate this process and also help the student keep track of PDF’s and papers to read. The course will offer introduction and training in either of these tools. If you do not want to participate in the Reference handling part of the course, you cannot leave the course. In a separate location you can perform literature searches assisted by one of the lectureres.

    Publication strategies:
    The course will conclude with lectures and group work on a number of topics concerning publication strategies. The topics will include open access, selecting journals for publishing, considerations about titles, abstracts and keywords, indicators of research impact, such as the journal impact factor and citation counts and scientific misconduct. The implications of the Danish Bibliometric Research Indicator will be presented and how it will affect you as a researcher at Aalborg University/Aalborg University Hospital. 
    Research evaluation:
    The course will focus on how you can use citations in your search for and evaluation of scientific literature. The two major multidisciplinary citation databases Web of Science and Scopus will be demonstrated. The databases differ in coverage and strengths/weaknesses.

    Literature: Some reading previous to the course should be expected.

    Prerequisites:  Masters degree in relevant area (medicine, nursing, psychiatry or similar). Primarily intended for PhD students.

    Evaluation: Following the course the students are expected to hand in a short assignment with reflections on the key topics of the course. The assignment will be further elaborated during the course.
  • Organizer: Conni Skrubbeltrang, librarian, M.Li.Sc. e-mail: cs@rn.dk

  • Lecturers: Conni Skrubbeltrang, librarian, M.Li.Sc. e-mail: cs@rn.dk, Sabine Drejer, Librarian M.Li.SC. sd@aub.aau.dk
  • ECTS: 1,6

  • Time: March 23rd and 24th 2017

  • Place: Aalborg University Library, Langagervej 2, Aalborg Ø. Room: Finsen
  • Zip code: 9220

  • City: Aalborg Ø

  • Number of seats:

  • Deadline:

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.