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

-        Establishment of the normal gut microbiota

-        Dysbiosis and disease

-        The gut-brain axis

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

-        The urinary microbiome

-        Designing clinical experiments

-        Methods and data interpretation


Prerequisites: 
A basic understanding of biomedical research

Literature: Selected reviews and papers

Evaluation: Active participation

Organizer: Associate Professor Suzette Sørensen, Center for Clinical Research, North Denmark Regional Hospital. Suzette.soerensen@rn.dk

Lecturers: External lecturers (TBA), Peter Leutscher, Søren Hagstrøm, Louise Arenholt, Caspar Bundgaard-Nielsen, Julie Kristine Knudsen, and Suzette Sørensen

ECTS: 2.4

Time: 27-29th of November 2019

Place: Centre for Clinical Research, North Denmark Regional Hospital, Hjørring

Zip code: 9800

City: Hjørring

Number of seats: 20

Deadline: 6 November

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 will cover the basic concepts of survival analysis. This includes the topics:

•                         Incidence and risk

•                         Censoring

•                         Epidemiological context of analysis of waiting times

•                         Kaplan-Meier curves

•                         Comparison of survival between two groups

•                         Regression models for rates

•                         Hazard function and cumulative hazard function (Nelson-Aalen)

•                         Proportional hazards model (Cox regression)

•                         Model diagnostics

•                         Delayed entry and choice of time scales

•                         Competing risks

•                         More advanced regression modeling (adjustment, splines, trend, effect modification, etc.)

 

The participants are expected to be familiar with basic aspects of the statistical software package STATA or similar. In the course, we will show examples in Stata with a specific focus on interpretation and reporting of results.

During the course, a number of practical exercises will be given that the students are expected to work on between course sessions. The choice of statistical software for the exercise is free and we will organize question time between course sessions.



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 (subject to changes)

Time: 22., 24, 28., 30. October and 1. November 2019. All days 8.30 – 15.30

Place: Forskningens Hus, Sdr. Skovvej 15, room 405

Zip code:
9000

City:
Aalborg

Number of seats:

Deadline: 1 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: 

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 

 

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: 26 March, 2 and 9 April, all days 8.30 - 15.30

Place: Forskningens Hus, Sdr. Skovvej 15.
26 March and 9 April: Room 018. 2 April: Auditorium A

Zip code:
9000

City:
Aalborg

Number of seats:

Deadline: 5 March

Important information concerning PhD coursesWe 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.

 

 

Prerequisites

It is recommended to bring a laptop with Stata installed – preferably the latest version.



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

Lecturers: Søren Lundbye-Christensen, PhD, Senior Biostatistician, Martin Nygård Johansen, MSc, Biostatistician

ECTS: 0,8

Time: 4.-5. September 2019

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

Zip code:
9000

City:
Aalborg

Number of seats:

Deadline: 14 August

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: 2- 5 December 2019

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

Zip code: 9220

City: Aalborg

Number of seats:

Deadline: 11 November 2019

Important information concerning PhD coursesWe 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 cover familiar epidemiological concepts like bias, confounding, and other systematic errors, but will go into more details with a focus on how and why the validity of results might be endangered. The use of Directed Acyclic Graphs for identifying sets of covariates necessary for robust adjustment of models will be introduced.

The identification and interpretation of interaction/effect modification will be covered with the aim of describing how subgroups might behave differently.

Finally, the course will cover more recent developments in epidemiology, by introducing causal inference from observational studies using counterfactual models and propensity scores, mediation analyses and the use of instrumental variables.

The course will include lectures and group work based on selected papers and problems related to the projects of the participants.

Literature

Selected papers and book chapters.

Evaluation

Active participation and presentation from group work.

 

Prerequisites

Skills corresponding to basic epidemiology and basic statistical courses.


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

Lecturers: Associate professor Henrik Bøggild, professor Kirsten Fonager, professor Christian Torp-Pedersen and invited lectures, Public Health and Epidemiology Group, Health Science and Technology, Aalborg University, Department of Social Medicine and Unit of Epidemiology and Biostatistics, Aalborg University Hospital

ECTS: 2,4

Time: POSTPONED TO 3-5 MARCH 2020

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

3.-4. March room 405
5. March room 106

Zip code:

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: 

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

ECTS: 3,2

Time: October, 7th - 10th 2019


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


Zip code:
9220

City:
Aalborg


Number of seats:

Deadline: 16 September

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.

Welcome to Data Management and Documentation


Description: 

This course will provide the participants with hands-on experience in creating and handling data from questionnaires, patientforms, 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 programs like EpiData Manager/Entry Client, RedCAP or Survey-Exact to create and input datasets ready for statistical analyses with the accompanying documentation including labelling, double entry, error corrections and data modification.

 

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: 13 and 20 September 2019, 8.15 AM to 14.15 PM

Place: Forskningens Hus, auditorium B

Zip code:
9000

City:
Aalborg

Number of seats:

Deadline: 30 august 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: 

While most medical studies aim to explain some phenomenon, a significant proportion does not have this as a primary goal. These studies instead aim to predict a certain event or measure as accurately as possible given a number of predictors. Although explaining and predicting are two separate goals, they are often interchanged in medical studies. More importantly, the statistical approaches used for these two types of data analyses are not the same.

Content:

      1. The basic differences between explanatory and predictive studies.
      2. Model estimation: variable selection, variable predictive power and penalisation (R-squared, AIC and BIC).
      3. Model Performance: N-fold cross validation, geographical and temporal validation, external validation.
      4. Model validity: Calibration and calibration slope, receiver operating characteristic (ROC) curve and area under the curve (AUC), prediction intervals

Upon completion of the course, the student will be able to distinguish between predictive and explanatory data analyses, as well as understand the basic statistical tools used in predictive studies.

References:

Moons K, Royston P, Vergouwe Y, Grobbee D, Altman D. Prognosis and prognostic research: what, why and how? BMJ2008;b375.

Ewout W. Steyerberg, Yvonne Vergouwe; Towards better clinical prediction models: seven steps for development and an ABCD for validation, European Heart Journal, Volume 35, Issue 29, 1 August 2014, Pages 1925–1931, https://doi.org/10.1093/eurheartj/ehu207

Evaluation:

Evaluation of the course will be based on active participation during the course.



Organizer: Lasse Hjort Jakobsen, Jan Brink Valentin


Lecturers: Lasse Hjort Jakobsen, Jan Brink Valentin


ECTS: 2

Time: 19-21 March 2019

Place: Room 405, Forskningens Hus, Sdr. Skovvej 15

Zip code:
9000

City:
Aalborg


Number of seats:

Deadline: 26 February