Biostatistical Methods I: Basic Principles Part A [CC02A]

Course highlights

EC points

2

Start date

06-05-2019

End date

10-05-2019

Course days

Weekdays

Faculty

Prof. Eric Boersma, ir. PhD, Isabella Kardys, MD PhD

Course fee

€ 940

Location

Erasmus MC, Rotterdam NL

Level

Introductory

Disciplines

  • Biostatistics

Exam date

17-05-2019

Application

How to apply

Detailed information about this course:

Description

The analysis of collected data is an inevitable part of almost any medical research project. Consequently, knowledge of and insight in the basic principles of data-analysis are essential for medical researchers. The course CC02 - Biostatistical Methods I: basic principles is designed to teach classical and basic statistical techniques for the analysis of medical research data. The course comprises lectures as well as computer practicals, in which students will apply the widely used statistical software packages SPSS and/or R to work through exercises.

CC02 consists of two parts. In part A, which lasts one week, basic applications of biostatistics will be introduced, including descriptive statistics, general principles of statistical hypothesis testing, statistical inferences on means and proportions, and interval estimates for association measures.

During the lectures, time will be spent on practical examples and exercises. Throughout the course, examples of SPSS- and R-programmes and -output will be demonstrated in relation to the topics that will be discussed.

Biostatistical Methods I: Basic Principles, part A (CC02A) is equivalent to Introduction to Data-analysis (ESP03) and Biostatistics for Clinicians (EWP22).

Objectives

Understanding and using basic applications of biostatistics in the analysis of medical research data, like descriptive statistics, general principles of statistical hypothesis testing, statistical inferences on means and proportions, and interval estimates for association measures.

Participant profile

Especially for Erasmus MC PhD candidates who only want to attend CC02a (not the full course CC02). Also for other interested students or candidates.

Assessment

Written exam


Reduction on fees

PLEASE NOTE THIS DOES NOT APPLY TO THE RESEARCH MASTERS (120 ECTS)

50% reduction on our fees for participating institutes of NIHES

This 50% reduction is offered to participants formally appointed at the departments or sections participating in NIHES.

University Medical Center Rotterdam/Erasmus University Rotterdam:

  • Department of Epidemiology
  • Department of Public Health
  • Department of Psychiatry, Section of Medical Psychology and Psychotherapy
  • Department of Child and Adolescent Psychiatry/Psychology
  • Department of Medical Informatics
  • Department of General Practice
  • Erasmus School of Health Policy & Management
  • Generation R

50% reduction on our fees for NIHES affiliated partners

This 50% reduction is offered to participants formally appointed at the following NIHES affiliated partners:

University Medical Center Rotterdam/Erasmus University Rotterdam, departments of:

  • Dermatology
  • General Paediatrics
  • Plastic and Reconstructive Surgery
  • Rehabilitation Medicine

Institute of Medical Education Research Rotterdam (iMERR)

Netherlands Cancer Institute/Antoni van Leeuwenhoek Hospital

  • Department of Cancer Epidemiology

25% reduction on our fees for partner institutes of NIHES

For participants formally appointed at the following departments, institutes:

  • Departments of Erasmus MC (except the departments mentioned above)
  • Addiction Research Institute (IVO)
  • Integraal Kankercentrum Zuid (IKZ)
  • Pallas Health Research and Consultancy
  • Municipal Health Service Amsterdam (GGD Amsterdam)
  • Municipal Health Service Rotterdam (GGD Rotterdam)
  • Havenpolikliniek
  • Admiraal De Ruyter Ziekenhuis

25% reduction for all (international) PhD students
Please state your tutor’s name and email address on the application form (remarks field).

25% reduction on our course fees (maximum 3 EC points per academic year) for all NIHES alumni
Please state that you are a NIHES alumnus/alumna and the academic year you graduated (remarks field).