Information for Cancer
Surveillance and Control
Recursos y formación
RCG Training

List of programmes and courses offered by the EASP in 2012 in connection with cancer registries and cancer research:


1. Biostatistical and epidemiological tools for cancer research.


  • Target audience: Healthcare professionals (medical oncologists, general practitioners, public health ...) and, in general, all those interested in oncology research and methods training and its application to clinical practice.
  • General Objective: To train participants on epidemiological and biostatistical tools applied to cancer research
  • Specific objectives:
    • To train participants in the principles and methods of epidemiology, prevention and cancer control.
    • To train participants on basic epidemiological and biostatistical tools applied to research.
    • To enchance skills in interpretating results and ability to critically read scientific articles.
  • Contents:
    • Introduction to epidemiology, prevention and cancer control.
    • Basic statistics applied to cancer epidemiology.
    • Design and interpretation of epidemiological studies.
    • Key elements for critical analysis of scientific articles.
  • Methodology: Blended learning, 40 hours (15 hours of face-to-face sessions combined with 25 hours of distance learning).
  • Coordination: Maria Jose Sanchez and Emilio Sánchez-Cantalejo.
  • Scheduled date: Granada, on-site sessions: May 28 and 29, 2012; off-site lessons until July 7 2012.
  • Registration Deadline: May 4, 2012.

2. Predictive Models: Application to decision making in clinical practice and healthcare.


  • Target audience: Health Professionals and / or researchers in the biomedical field that require this type of methodology to perform healtchcare and research activities
  • General Objective: to train participants in building valid predictive models, applicable to decision-making in clinical practice.
  • Specific objectives. Upon completion of the course attendees will be able to:
    • Select the epidemiological design most suitable to the problem under study.
    • Build a predictive model in accordance with the outcome of interest.
    • Critically evaluate the final model.
    • Validate the predictive model, both internally and externally.
  • Contents:
    • Cohort Designs: advanced topics.
    • Multivariate regression models.
    • Regression trees.
    • Discrimination and calibration of a predictive model.
    • Validation.
    • Presentation: nomograms.
  • Competences:
    • Acquire basic knowledge about:
      • Epidemiological designs suitable for predictive modeling.
      • Parametric multivariate regression models.
      • Non-parametric regression models: classification and regression trees.
      • Key measures to evaluate the performance of a predictive model
    • Develop skills to:
      • Select the epidemiological design most suitable for the problem under study.
      • Build a predictive model in accordance with the outcome of interest.
      • Critically evaluate and validate the final model.
  • Methodology: Blended learning, 30 hours
  • Coordination: Emilio Sanchez Cantalejo and Maria Jose Sanchez.
  • Scheduled date: Granada, on-site sessions: May 24-25, 2012 and June 21-22, 2012
  • Registration Deadline: May 4, 2012.

3. XVI Expert in Epidemiology and Clinical Research (Modular)


  • Target audience: Health professionals involved in research activities, especially those part of Clinical Management Units or stable cooperative research structures (CIBER and RETIC) and interested in fostering research inside their field of work.
  • • General Objective: To improve skills in the field of research by providing participants with the methodological tools, both quantitative and qualitative, necessary to successfully design and develop research projects on clinical epidemiology and health outcomes.
  • Specific objectives. To enable participants to:
    • Incorporate research into clinical practice, thereby improving the quality of healthcare.
    • Choose the type of epidemiological design and perform the most relevant data analysis in accordance with to the health problem under study.
    • Develop research projects on health issues, public or privately funded, through competitive tendering process.
    • Critically read and analyze biomedical literature.
    • Popularize research findings through scientific publications, with particular emphasis on knowledge transfer to clinical practice.
  • Contents: The course is divided into four blocks as shown below.
    • Block 1: BIOMEDICAL RESEARCH AS A SOURCE OF KNOWLEDGE- R&D MANAGEMENT
      This block is intented to present attendees with an overview of research policies in Andalusia, Spain and the European Union.
    • Block 2: THE RESEARCH PROCESS. HOW TO PREPARE A RESEARCH PROJECT AND ARTICLE to be accepted, funded and published.
      This block aims mainly to provide students with the knowledge and skills which enable them to develop a research protocol on a health problem.
    • Block 3: FOUNDATIONS OF EPIDEMIOLOGY. DESIGNS IN HEALTH SCIENCES RESEARCH
      The aim of this block is to enable students to carry out the most efficient design strategy for a health study.
    • Block 4: STATISTICAL METHODS
      This block is intended to train students in analyzing data from a study using The free software R will be used in this part.
    • Block 5: SOCIAL SCIENCES IN HEALTH RESEARCH
      The aim of this block is to present students fundamental concepts of topics relevant in health research.
    • Block 6: RESEARCH PROJECT.
      The aim of this block is the introduction to research work and evaluation of those skills acquired by students in connection with research.
  • Methodology: Blended learning 750 hours. 30 ECTs (credits)
  • Coordination: Emilio Sanchez Cantalejo and Maria Jose Sanchez.
  • Scheduled dates for the face-to-face sessions in the 10 modules: Granada:
    Module 1: September 19, 20 and 21, 2012
    Module 2: October 24, 25 and 26 2012
    Module 3: November 21, 22 and 23, 2012
    Module 4: December 19, 20 and 21, 2012
    Module 5: January 23, 24 and 25, 2013
    Module 6: February 20, 21 and 22, 2013
    Module 7: March 20, 21 and 22, 2013
    Module 8: April 24, 25 and 26, 2013
    Module 9: May 22, 23 and 24, 2013
    Module 10: June 19, 20 and 21, 2013

  • Registration Deadline: July 20, 2012

4. Multivariate regression models in health sciences


  • Target audience: Professionals with basic training in statistics interested in learning and applying the multivariate techniques most commonly used in health sciences. It is an intermediate course intended to train participants in multivariate analysis of information and reading specialised journals, and of a particular interest to those professionals who after having completed any training activity of introduction to data statistical analysis would like to expand their knowledge in this field.
  • General objective: To train participants in the multivariate analysis of information, critical reading of specialist literature and taking more advanced training sessions.
  • Specific objectives:
    • To understand the fundamental principles of Multivariate Analysis.
    • To know the main multivariate regression models used in health sciences.
    • To acquire the knowledge necessary for data statistical analysis and critical reading of scientific publications based on multivariate regression methods.
  • Contents:
    • Analysis of continuous responses using linear regression models.
    • Analysis of categorical responses using logistic regression models.
    • Goodness of fit and diagnostic checking for multivariate regression models.
    • Statistical Software for the estimation of multivariate models.
  • Competences:
    • Multivariate analysis of information and presentation of results.
    • Standard software for statistical analysis of data.
    • Advanced statistical procedures.
    • Skills in statistical software for multivariate analysis of information.
    • Management of information and knowledge based on evidence.
  • Methodology: Blended learning, 60 hours.
  • Coordination: Ricardo Ocaña Riola.
  • Scheduled dates for the face-to-face sessions of the 3 modules, Granada:
    Module 1: October 3-5, 2012
    Module 2: October 24-26, 2012
    Module 3: November 14-16, 2012
  • Registration Deadline: September 6, 2012.

5. Statistical analysis with missing data


  • Target audience: Professionals involved in research projects.
  • General Objective: To introduce participants to the imputation methods for missing data.
  • Specific objectives:
    • To introduce the basic concepts related to missing data.
    • To present and discuss the limitations of classical methods.
    • To establish and implement the multiple imputation method.
    • To discuss other methods of imputation.
  • Contents:
    • The problem of missing data.
    • Mechanisms to generate missing data.
    • Classical methods of imputation.
    • Multiple Imputation.
    • Other ways to imputate missing values.
  • Method: On-site, 30 hours.
  • Coordination: Emilio Sanchez-Cantalejo.
  • Scheduled Dates: Granada November 8-9 and 22-23, 2012.
  • Registration Deadline: October 11, 2012.

6. Multilevel Analysis


  • Target audience: Professionals with prior knowledge of statistics and training in the application and interpretation of multivariate regression models. It is an advanced course oriented towards analyzing data that have a hierarchical (group) structure, where, in addition to individual independent variables, contextual variables play an important role in explaining a health outcome. The course is of particular interest to those professionals who, having attended training sessions in multivariate regression models, would like to expand their knowledge in this field.
  • General objective: To enable participants to analyze information with a hierarchical (group) structure.
  • Specific objectives.
    • To understand the implications and consequences of applying traditional regression models to a hierarchical (group) data structure.
    • To learn about the multilevel models most used in health research.
    • To acquire enough knowledge to estimate multilevel models with continuous or binary dependent variables.
    • To learn about the software most used in multilevel analysis.
  • Contents:
    • Generalized Linear Models.
    • Epidemiological designs with a hierarchical (group) data structure.
    • Levels of analysis and types of variability.
    • Multilevel regression models.
    • Multilevel analysis with a continuous dependent variable.
    • Multilevel analysis with a binary dependent variable.
    • Software to estimate multilevel regression models: MLwiN.
  • Method: On-site, 20 hours.
  • Coordination: Ricardo Ocaña Riola.
  • Scheduled Dates: Granada: December 11-14, 2012.
  • Registration Deadline: October 5, 2012.

7. Epidemiology and Statistics


  • Target audience: Professionals without prior training in statistics or epidemiology interested in learning and applying the quantitative methods most used in clinical research and healthcare. It is an introductory course intended to train participants in statistical analysis of information and reading specialist publications, and of particular interest to those professionals wishing to develop competence in this field.
  • General objective: To enable participants to perform a basic analysis of information, critically read specialized literature and attend more advanced training activities.
  • Specific objectives:
    • To understand the design of the main types of studies and their limitations.
    • To learn about basic statistical techniques for data analysis.
    • To acquire methodological knowledge essential for health research.
  • Contents:
    • Epidemiological designs: quasi-experimental studies, clinical trials, cohort studies,case-control studies, cross-sectional and ecological studies.
    • Measures of magnitude and potential impact.
    • Systematic errors and ways of control.
    • Univariate analysis: description and graphic representation of data.
    • Bivariate analysis: Association between variables.
    • Stratified Analysis: Confusion and interaction.
    • Statistical inference: Tests of hypotheses and confidence intervals.
  • Methodology: Blended learning, 60 hours.
  • Coordination: Ricardo Ocaña Riola.
  • Scheduled dates: Granada off-site training: April 23 to May 29, face-to-face sessions: May 30 to June 1 and June 27- 29, 2012.
  • Registration Deadline: March 16, 2012.

Other courses of interest


IARC Training Courses - Summer School in Cancer Epidemiology - 2012

Target audience: Epidemiologists, statisticians, doctors and oncologists, public health specialists and any other professionals interested in cancer epidemiology and population-based cancer registries.
Two modules: 1) Cancer Registration: Principles and Methods. 2) Introduction to Cancer Epidemiology.
Scheduled dates: IARC, Lyon, France: June 18, 2012 to July 6, 2012.
Registration deadline: January 16, 2012.


Weblink: http://www.iarc.fr/en/education-training/summer-school/index1.php


Cancer Survival: Principles, Methods and Applications – Short Course - 2012

Target audience: Epidemiologists, statisticians, doctors and oncologists, public health specialists and any other professionals interested in survival analysis.
Contents: Statistical methods for the analysis of "relative survival" in population-based cancer registries.
Scheduled dates: London School of Hygiene & Tropical Medicine, London, UK: June 25-29, 2012..


Weblink: http://www.lshtm.ac.uk/eph/ncde/cancersurvival/course2012/index.html


CSISP Summer School 2012 - Module 1: Cancer and Biobanks

Target audience: Professionals in the field of tumour biobanks, biomedical research and cancer.
Content: Current status and future of biomedical and cancer research.
Scheduled dates: Center for Advanced Research in Public Health (CSISP), Valencia, Spain: June 25-29, 2012.
Registration Deadline: May 31, 2012.


Weblink: http://www.csisp.gva.es/


Summer School in Modern Methods in Epidemiology and Biostatistics – 2012

Target audience: Students and Professionals of Epidemiology and Public Health. Medical research depends more and more on quantitative approaches, while decision-making by doctors increasingly relies on the evidence of quantifiable data. These courses are designed to provide participants with an understanding of the principles and techniques used to produce and interpret epidemiological data.
Contents: introductory and advanced courses in epidemiology (study design, data analysis and clinical epidemiology) and biostatistics (regression and survival analysis).
Upon completion of these courses, participants will be able to apply the main epidemiologic concepts to research practice, verify the reliability of published results as well as manipulate sets of simple and complex data and interpret results. Participants will also learn how to use data analysis software, both basic and more sophisticated.
Scheduled dates: Castello Brandolini Colomban, Cison di Valmarino, Treviso, Italy, June 3-23, 2012.
Registration Deadline: May 31, 2012.


Weblink: http://www.biostatepi.org


STATISTICAL METHODS FOR POPULATION-BASED CANCER SURVIVAL ANALYSIS – short course

It is a module of the course: Summer School in Modern Methods in Epidemiology and Biostatistics – 2012.
An intensive 5-day course on the principles, methods and application of statistical methods to cancer survival analysis in population-based cancer registries.
Scheduled dates: Castello Brandolini Colomban, Cison di Valmarino, Treviso, Italy, June 18-22, 2012.
Registration deadline: May 31, 2012 .


Weblink: http://cansurv.net/


European Educational Programme in Epidemiology – 2012

Target audience: Epidemiologists, public health professionals, statisticians and clinicians interested in epidemiology.
The programme consists of two courses:
25th Residential Summer Course in Epidemiology
Competing Risk Analysis
Scheduled dates: Florence, Italy, June 25 to July 13, 2012..
Registration Deadline: May 5, 2012.


Weblink: http://www.eepe.org/home.html


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