Description: 

This 2 days course is aimed at doctoral students and researchers in the health sciences. The course gives you skills and knowledge within a wide range of relevant areas useful during your PhD.

The course will cover these essentials areas:

  • Health scientific literature searching, evaluating and organising information – How to use tools like PICO to formulate structured search queries for use in bibliographic databases such as PubMed and EMBASE. How to choose the right database for your research question. Training in PubMed and Embase using structured queries with the MeSH and EMTREE tools.  How to document literature searches and create a protocol in accordance with the PRISMA statement. How reference management tools can facilitate the process of organizing search results
  • Research evaluation – What research evaluation entails. Citations and h-index as measures for evaluating research. How to use the most central databases in research evaluation for your subject
  • Publication strategy - How to increase publications’ visibility and searchability in databases through well-informed choices regarding an article’s key features (titles, keywords and abstracts) and choice of publication channel such as BFI and other relevant impact measures. How to use relevant tools and websites for choosing where to publish
  • Research visibility, networking and profiling - How to register research in VBN, knowledge and use of researcher identifiers, scholarly networks and Open Access
  • Research ethics and copyright for researchers is also a part of the course.

The course is a “toolbox for research”-course with a mix of presentations and hands-on exercises, either working on your own focusing on your own PhD-project or in small groups with a shared focus.

Preparation before the course: Some reading previous to the course should be expected.

Exercises: There will be both class exercises and home exercises. The home exercises are introduced during the course. You are required to finish the home exercises at home and return them by a specific date.

Accommodation: There will be coffee and tea during the day. However, you will have to bring your own lunch. Alternatively, you have to go to the canteen at Fibigerstræde 15. It is approximately a 10 minutes’ walk.

Course language: English

Important: Remember to bring your computer

Organizer:  Conni Skrubbeltrang, librarian, M.Li.Sc. e-mail: cs@rn.dk and Louise Thomsen, librarian, M.Li.Sc e-mail: lt@aub.aau.dk 

Lecturers: Conni Skrubbeltrang, librarian, M.Li.Sc. e-mail: cs@rn.dk, Louise Thomsen, librarian, M.Li.Sc e-mail: lt@aub.aau.dk, Sabine Dreier sd@aub.aau.dk and Pernille Gaardsted psg@rn.dk

ECTS: 2

Time 4th and 5th of October 2018

Place: Aalborg University Library, Langagervej 2, room Darwin

Zip code: 9000

City: Aalborg


Deadline: 13th of September



    • Description:

      The Grading of Recommendations Assessment, Development and Evaluation (short GRADE) is a transparent and rigorous approach to grading quality (or certainty) of evidence and strength of recommendations. The GRADE approach is an internationally accepted standard in the development of clinical guidelines. The course introduces the basic principles of guidelines methodology using the GRADE approach. The course covers the following topics such as;

      -          The fundamental first step: Asking an answerable question (PICO/PIRO) and selecting and rating patient-important outcomes.

      -          Risk of bias assessment (Learn how to assess methodological limitations of randomized and non-randomized trials (observational evidence)).

      -          Quality of evidence: Rating down and rating up using the GRADE framework.

      -          Moving from evidence to recommendations. Participants will be introduced to the GRADE Evidence to Decision (EtD) framework and its individual domains.


      Literature:
      Class material will be uploaded 14 days prior to course start, but a must for the course is the following literature:

       

      • Guyatt GH, Falck-Ytter Y, Schünemann HJ. Going from evidence to recommendations. BMJ 2008;336:1049

       

      • Schünemann HJ, Jaeschke R, Craig J, Guyatt GH. Grading quality of evidence and strength of recommendations for diagnostic tests and strategies. BMJ 2008;336:1106

       

      • Guyatt GH, Falck-Ytter Y. What is “quality of evidence” and why is it important to clinicians? BMJ 2008;336:995

       

      • Guyatt GH, Falck-Ytter Y. GRADE: an emerging consensus on rating quality of evidence and strength of recommendations. BMJ 2008;336:924


      Prerequisites:
      None

      Evaluation:
      Active participation - including completion and presentation of course exercises.



  • Organizer: Professor Preben Ulrich Pedersen pup@hst.aau.dk

  • Lecturers:

    Professor Preben Ulrich Pedersen pup@hst.aau.dk, Department of Health Science and Technology, University of Aalborg.

    PhD fellow Sasja Jul Håkonsen sjh@hst.aau.dk, Department of Health Science and Technology, University of Aalborg.



  • ECTS: 0,8

  • Time: September 21st 2018, 8.30 – 16.30

  • Place: AAU Campus, TBA

  • Zip code: 9220

  • City: Aalborg Ø

  • Number of seats:

  • Deadline: August 29th

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:

    Topics that will be covered are basic epidemiological concepts as  

    • incidence rates
    • risks
    • survival curves
    •  log-rank tests  


    Also main features of time-to-event data as e.g.

    • censoring
    • choice of time scales
    • delayed entry
    • Cox regression
    • hazard functions, hazard ratio
    • model diagnostics

     

    A number of advanced topics include other effect measures,  time varying covariates, competing risks, pseudo observations and relative survival.

     

     

    Many different perspectives will be presented as the team of teachers is diverse. The presentations will focus on research questions, interpretations and scientific presentation of analysis results.

     

    The participants are expected to be familiar with basic aspects of the statistical software package STATA or similar.



  • Organizer: Søren Lundbye-Christensen, solc@rn.dk 

  • Lecturers: Søren Lundbye-Christensen, Martin Berg Johansen, Henrik Bøggild, Lasse Hjort Jakobsen, Jan Brink Valentin

  • ECTS: 3,2

  • Time: 1,15, 22, 29 November

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

  • Zip code: 9000

  • City: Aalborg

  • Number of seats:

  • Deadline: 11 October

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, solc@rn.dk  

  • Lecturers:
    Søren Lundbye-Christensen, PhD, Senior Biostatistician

    Martin Berg Johansen, MSc, Biostatistician

  • ECTS: 2,4

  • Time: May 28th, June 4th and 11th 2018
    All days 8.30 - 15.30

  • Place:
    Forskningens Hus, Sdr. Skovvej 15, Auditorium B

  • Zip code: 9000

  • City: Aalborg

  • Number of seats:

  • Deadline: May 14th, 2018

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:

  • Organizer:

  • Lecturers:

  • ECTS: 0,8

  • Time: September 5th and 6th, kl. 8.30-12

  • Place: Forskningens Hus, Sdr. Skovvej 15, 9000 Aalborg

    September 5th: Room 018
    September 6th: Room 106

  • Zip code: 9000

  • City: Aalborg

  • Number of seats:

  • Deadline: August 14th, 2018

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:

    A theoretical overview on the field of the human gut-microbiota and its association with human health and disease. The following topics will be covered:

    -        Establishment of the normal gut microbiota

    -        Dysbiosis

    -        The gut-brain axis

    -        Manipulation of gut microbiota (probiotica, FMT, etc.)

    -        Designing clinical experiments

    -        Methods and data interpretation


    Prerequisites: 
    A basic understanding of biomedical research

    Literature: Selected reviews and papers

    Evaluation: Active participation



  • Organizer: Associatf Clinical Medicine, Center for Clinical Research, North Denmark Regional Hospital. Suzette.soerensen@rn.dk

  • Lecturers: External invited speakers (TBA), Peter Leutscher, Caspar Bundgaard-Nielsen, Julie Kristine Knudsen, Nadia Ammitzbøll, Suzette Sørensen

  • ECTS: 1,6

  • Time: 29 and 30 November 2018

  • Place: Centre for Clinical Research, North Denmark Regional Hospital, Hjørring
    29 November in Kobberboxen
    30 November in Skou Auditorium

  • Zip code: 9800

  • City: Hjørring

  • Number of seats: 20

  • Deadline: 8 November 2018

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 2 days course is aimed at doctoral students and researchers in the health sciences. The course gives you skills and knowledge within a wide range of relevant areas useful during your PhD.

The course will cover these essentials areas:

  • Health scientific literature searching, evaluating and organising information – How to use tools like PICO to formulate structured search queries for use in bibliographic databases such as PubMed and EMBASE. How to choose the right database for your research question. Training in PubMed and Embase using structured queries with the MeSH and EMTREE tools.  How to document literature searches and create a protocol in accordance with the PRISMA statement. How reference management tools can facilitate the process of organizing search results
  • Research evaluation – What research evaluation entails. Citations and h-index as measures for evaluating research. How to use the most central databases in research evaluation for your subject
  • Publication strategy - How to increase publications’ visibility and searchability in databases through well-informed choices regarding an article’s key features (titles, keywords and abstracts) and choice of publication channel such as BFI and other relevant impact measures. How to use relevant tools and websites for choosing where to publish
  • Research visibility, networking and profiling - How to register research in VBN, knowledge and use of researcher identifiers, scholarly networks and Open Access
  • Research ethics and copyright for researchers is also a part of the course.

 

The course is a “toolbox for research”-course with a mix of presentations and hands-on exercises, either working on your own focusing on your own PhD-project or in small groups with a shared focus.

Preparation before the course: Some reading previous to the course should be expected.

Exercises: There will be both class exercises and home exercises. The home exercises are introduced during the course. You are required to finish the home exercises at home and return them by a specific date.

Accommodation: There will be coffee and tea during the day. However, you will have to bring your own lunch. Alternatively, you have to go to the canteen at Fibigerstræde 15. It is approximately a 10 minutes’ walk.

Course language: English

Important: Remember to bring your computer

Organizer:  Conni Skrubbeltrang, librarian, M.Li.Sc. e-mail: cs@rn.dk and Louise Thomsen, librarian, M.Li.Sc e-mail: lt@aub.aau.dk 

Lecturers: Conni Skrubbeltrang, librarian, M.Li.Sc. e-mail: cs@rn.dk and Louise Thomsen, librarian, M.Li.Sc e-mail: lt@aub.aau.dk 

ECTS: 2

Time: May 14th - 15th 2018

Place: Aalborg University Library, Langagervej 2, room Darwin

Zip code:
9000

City:
Aalborg

Number of seats:

Deadline: April 23nd

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 14th and 21st 2018

  • Place: Aalborg University, Niels Jernes Vej 12A, room 5-006

  • Zip code: 9220

  • City: Aalborg

  • Number of seats: 30

  • Deadline: August 31st

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, professor, Henrik Bøggild, Ph.D, associate professor

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

  • ECTS: 3,2

  • Time: October, 1st - 2nd and 8th - 9th 2018

  • Place: Aalborg University, campus

  • Zip code: 9220

  • City: Aalborg

  • Number of seats:

  • Deadline: September 10th

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. 

Kursusprogram_2018 - 170518.pdfKursusprogram_2018 - 170518.pdf
  • .
  • Description:

    This PhD course is aimed at PhD students working within the field of translational cancer research and clinical cancer research. The course will cover several topics related to translational cancer research, including basic science methodologies, statistics and bioinformatics and clinical research. The basic science lectures will cover topics like tumour heterogeneity, liquid biopsies and model systems as well as the currently used methods to elucidate these topics. The bioinformatic lectures will focus on development of work-flows for personalized medicine, challenges in database structures, cancer commons, and interpretation of sequencing data. The clinical research will discuss contemporary cancer treatments and current needs, research based on clinical data, drug development and ethics in personalized medicine.

  • Organizer:

    Ass. professor Tarec Christoffer El-Galaly (tceg@rn.dk) Aalborg University Hospital and the Clinical Cancer Research Center, Aalborg University Hospital

    Course coordinator: Postdoc Julie Støve Bødker

  • ECTS: 3

  • Time: 23 - 25 May 2018

  • Place: Forskningens Hus, Sdr. Skovvej 15, 9000 Aalborg. Room 018

  • Zip code: 9000

  • City: Aalborg

  • Number of seats: 20

  • Deadline: 9 May 2018

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.

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

  • Lecturers: Peter Vestergaard, Louise Bornebusch Lund, Bo Kristensen Jessen, Louise Hansen, Britt Laugesen, Søren Risom Kristensen, Henrik Krarup, Jesper Karmisholt, Bodil Steen Rasmussen

  • ECTS: 3,2

  • Time: December 2018

  • Place: Aalborg University, Niels Jernes Vej 12A, Room 6-104

  • Zip code: 9220

  • City: Aalborg

  • Number of seats:

  • Deadline: 12 November 2018

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. 

program.pdfprogram.pdf
  • Description:

    This PhD course is aimed at PhD students working within the field of hematology as either experimental or medical researchers. The course will cover technologies often used in precision medicine, discussions on how to interpret and implement genetic information in a clinical setting and touch upon future improvements.

  • Organizer: Karen Dybkær, Professor, Department of Clinical Medicine, Aalborg University

  • Lecturers:

  • ECTS: 1,5

  • Time: March 8th-9th 2018

  • Place: Hotel Severin, Skovsvinget 25

  • Zip code: 5500

  • City: Middelfart

  • Number of seats: 20

  • Deadline: 20 February 2018

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.