Epidemiology O&O-groep

Leerstoelen/RGL's

• Cancer epidemiology - Bart Kiemeney
  • Bekijk Radboudumc profielpagina en bekijk research group
• Genetic epidemiology - Sita Vermeulen
  • Bekijk Radboudumc profielpagina en bekijk research group (link volgt t.z.t.)
• Personalized cancer screening - Mireille Broeders
  • Bekijk Radboudumc profielpagina

Initieel onderwijs

• BMS16 - Causal Inference in Observational Research

  This course focuses on understanding and applying advanced methods of causal inference in observational research.
  The basic concepts in causal inference, including causal identification criteria, will be discussed. You will gain hands-on experience with creating your own causal models using the Directed Acyclic Graph (DAG) frameworks. 

  Meer informatie vindt u hier.

• BMS17 – Hands-on: Genome data association studies

  BMS17 is focused on big, population-based genome association studies. Do you want to understand the design, analysis, and results of these studies? And do you want to be able to perform a genome data association analysis and identify disease-related DNA variants yourself? Then this is the right course for you.

  Meer informatie vindt u hier.

• BMS47 – Biomarkers in population-based research

  The main objective of this course is to gain a clear understanding in methods of biological sample collection for the use of biomarkers in health-related research questions, taking into account validity, reproducibility, feasibility, and efficiency. Students will also gain practical experience by designing the preanalytical phase of a population-based study.

  Meer informatie vindt u hier.

• BMS59 – Prediction models and machine learning

  Prediction models are the cornerstone of personalized medicine.  During this course students will learn the concepts of traditional epidemiological prediction models and learn how to build one themselves. From there they learn the ‘machine learning language’ and how the methods compare to traditional epidemiological prediction models. Next, they will learn to create and evaluate a prediction model using advanced statistical techniques and machine learning algorithms (e.g. random forest, support vector machines).  

  Meer informatie vindt u hier.

• BMS61 - Statistical modeling in medical research

  In this course multivariable linear and logistic regression models are considered for association and prediction studies. It is explained how to build models, estimate the parameters and how to interpret the results of the analyses. The package R is used.

  Meer informatie vindt u hier.

• BMS66 – Reproductive Epidemiology and Toxicology

  This course encompasses the fields of reproductive epidemiology and toxicology, covering the entire spectrum from fertility and subfertility through pregnancy complications to adverse perinatal outcomes (e.g. preterm birth and low birth weight) and birth defects in offspring, as a result of exposure to non-genetic risk factors and gene-environment interaction.

  Meer informatie vindt u hier.

• BMS68 – Innovative research in urological cancers

  This course focuses on innovative research approaches within the theme urological cancers, with special attention to translational relevance, i.e. the implementation of new diagnostic and therapeutic interventions in an academic clinical setting. 

  Meer informatie vindt u hier.

• BMS71 - Womens cancers

  This course focuses on providing the students with a clinical view on women’s cancers, i.e. gynecological cancer and breast cancer. It will also challenge the students to formulate existing clinical questions in a research project. By doing so we aim to show the relevance of collaborating with people in the medical field, gathering the necessary information, clarifying the problem and developing an appropriate research proposal.  

  Meer informatie vindt u hier.

• BMS77 – Design of applied medical research

  In this course you will learn how to design an applied medical research study in a valid and efficient manner. The basic knowledge of observational study designs and intervention studies will be rehearsed, deepened and broadened. In addition, you will learn about alternative study designs like nested case-control, case-cohort studies and  stepped wedge trials.  The course also focussed on concepts as bias, validity, and causality.

  Meer informatie vindt u hier.

• BMS78 – Modern methods of data collection

  The quality and results of most studies depend heavily on the quality of the data. This course addresses both theory and practice of modern data collection methods for quantitative health-related research, which will enable the students to properly design their own data collection and assess the quality of data collected by others.

  Meer informatie vindt u hier.

• BMS81 – Applied medical research and society

  The overall aim of the course ‘Applied medical research and society’ is to bridge the gap between medical research and society and provide you with the tools to succeed in this. You will learn to choose which epidemiological impact measures to use in certain situations to give a balanced view and provide the most appropriate information for the general public, (health) professionals, or policy makers.

  Meer informatie vindt u hier.

• BMS84 – Longitudinal and multilevel data analyses

  In this course we will discuss advanced statistical methods that are used to address biomedical and epidemiological research questions that require the collection and analysis of clustered data. In this course, multilevel analyses, longitudinal data analyses, and multilevel survival analyses will be taught. The computer package R will be used for the analysis of data from a range of research contexts in order to obtain practical experience.

  Meer informatie vindt u hier.

• CKO9 – Centraal klinisch Onderwijs – voorbereiding onderzoeksstage

  The course comprises an interactive mix of learning and teaching. The learning aids for making your Plan of Work, which is your end product of CKO9, are presented on Brightspace. You are in control of your own project and are given assistance with defining the topics of your research by your peers through peer review. We designed seminars to stimulate this peer review process. Through interaction with fellow students, the teacher and, later on, your supervisor, the process of critical reflection on your own study will be reinforced.

• 1RMM - Methods and measures in human-based research

  In (bio)medical research we collect and use information from and about humans. You will be introduced to various methods for data collection in humans, for example by physical examination. You will perform some anthropometric measurements yourself.

  Meer informatie vindt u hier.

• 2RPP - Etiological research on pregnancy outcomes

  This course deals with etiological research designs and measures of association and impact, all applied to research on pregnancy outcomes or fertility.

  Meer informatie vindt u hier.

• 3CCT - Clinical trials

  In deze CSI-module  leer je de basisprincipes van interventieonderzoek doen samen met de basisbegrippen van onderzoeksontwerp, onderzoeksethiek en data-analyse. Dit leer je door zelf (in theorie) een RCT op te zetten naar het effect van een interventie met cafeïne en door daarna de in eerdere jaren verzamelde data van een dergelijke interventie te verwerken.

  Meer informatie vindt u hier.

• 4CSS - Critical science

  Goed onderzoek vergt dat je kritisch bent op hoe je onderzoek opzet en uitvoert en hoe je de resultaten ervan interpreteert en presenteert. Voldoet mijn werk wel aan alle onderzoeksmethodologische en onderzoeksethische normen en waarden? Ben ik kritisch op fouten die ik daarbij kan maken?

  Meer informatie vindt u hier.

• 4RAC - Associations and causal relations

  In this module you will study theory about associations, causal relations, validity and bias and convert this theory into practice. 
  You will also perform descriptive and association analyses in your own data, which were collected by you and other BMS students during Q1 – Q3. All these data are merged into a student research database.  

  Meer informatie vindt u hier.

• 5CCS - Kanker: screening, diagnose en dure geneesmiddelen

  Diagnosis is central to medical practice. It refers to knowing about the health status of a person. In this module you will learn about diagnosis of cancer: which tests are available, and how do they perform in clinical practice? You will learn about measures to describe the performance of a diagnostic test, such as sensitivity, specificity and diagnostic value. Furthermore, we will discuss screening programs for cancer.

  Meer informatie vindt u hier.

• 5MPO - Nieuwvorming: Populatie

  In this module, students learn about the burden of cancer, about its risk factors and its prognosis. Simultaneously, they learn about the methodology of frequency parameters, and association parameters.

  Meer informatie vindt u hier.

• 5RPO - Cancer etiology and prognosis

  In this module for students in BMS, three computer assignments deal with the methodology of etiological and prognostic research. Students also learn how to report their findings through a scientific abstract.

  Meer informatie vindt u hier.

• 7RSD - Screening as early diagnostics

  In the Netherlands almost 1 of 20 persons will be diagnosed with colorectal cancer in their lifetime. Since 2014 the Netherlands has implemented a population-based screening programme for colorectal cancer. This module takes this screening programme as an example to elaborate on the possibilities and pitfalls of early diagnostics.

  Meer informatie vindt u hier.

• Minor 17: Biomedical Research Methods - (premaster)

  The minor Biomedical Research Methods is specifically designed for premaster students of Biomedical Sciences. In this minor students will learn most of the research content that regular BMS bachelor students learned during their first 1,5 years of study. It is about human-based research in populations.

  Meer informatie vindt u hier.

• Minor 27: Genomics research – from molecule to population

  This minor focuses on the application of genetic, epidemiological, and bioinformatic tools in (bio)medicine. In other words: To use the information contained within the genome of patients to understand and diagnose diseases, and (when possible) define strategies for prevention, treatment and/or curing these diseases.

  Meer informatie vindt u hier.

Post-initieel onderwijs

• Methoden voor de opzet van toegepast klinisch onderzoek

  Deze cursus richt zich specifiek op de opzet van klinisch wetenschappelijk onderzoek. Aan bod komen verschillende typen designs voor gerandomiseerde en niet-gerandomiseerde trials en observationeel onderzoek, selecteren van de studiepopulatie,  verschillende soorten bias en modellen voor causaliteit.

  Meer informatie vindt u hier.

   

• Statistics for geneticists

  Driedaagse cursus, ontwikkeld voor PhD studenten van de afdeling Genetica (en SD Medical BioSciences), gericht op statistische basisconcepten en analyses, het werken in Linux, en wanneer en hoe hulp te zoeken voor epidemiologische en statistische vragen.

   

Samenwerkings­verbanden

• Vereniging voor Epidemiologie

  We zijn aangesloten bij de Vereniging voor Epidemiologie.

  Meer informatie vindt u hier.

   

• Integraal Kankercentrum Nederland (IKNL)

  Er bestaat een nauwe samenwerking met de onderzoeksgroep urologische tumoren van het IKNL.

  Meer informatie vindt u hier.

Consultancy/diensten

Ben je geïnteresseerd in consultaties of diensten van een O&O-groep, vul dan ons aanvraagformulier in.

• Waar wij u mee kunnen helpen

  Radboudumc-onderzoekers kunnen epidemiologen raadplegen over onderzoeksopzet en -uitvoering, studie designs, dataverzameling, datamanagement, analyse, en interpretatie en implementatie.

Registratie Epidemioloog A en B

Nationale registratie als Epidemioloog A of B is mogelijk voor wetenschappelijk gevormde en in de praktijk geschoolde epidemiologen die in staat zijn te functioneren in het epidemiologisch onderzoek en onderwijs, in de advisering of in de beleidsvoorbereiding betreffende (volks)gezondheidsproblemen. Bespreek de opleidings- en registratie mogelijkheden met erkend opleider Epidemiologie Dr. Femmie de Vegt (e-mail).

Zie ook:

• Registratie - Vereniging voor Epidemiologie
• SMBWO - Stichting voor opleiding tot Medisch-Biologisch Wetenschappelijk Onderzoeker