Biostatistics for Clinicians, Certificate

  • Application Deadline
  • 5 days
    Duration
  • Tuition
    630
    Tuition (Module)
    630
    Tuition (Module)
  • English (take IELTS)
    Language
  • Overview
  • Programme outline
  • Key facts
  • Admission requirements
  • Fees and funding

About

This course aims at introducing the basics of biostatistics, form an applied bio-medical perspective. Starting from some data sets collected to answer specific research questions, the objectives of statistical inference will be illustrated. These examples will also serve as key examples throughout the course.

Further, concepts such as population, random sample, randomization, and causality will be briefly discussed. Next, descriptive tools such as tables, graphs and summary statistics will be introduced. A lot of emphasis will be put on the relation between the population and the sample, and on how observed effects in the sample can be generalized to the total population.

After having discussed the concept of sampling distributions, confidence intervals and hypothesis testing will be introduced from an intuitive perspective. Afterwards, some frequently used testing procedures (unpaired and paired t-tests, chi-squared and Fisher exact tests, McNemar test) will be presented.

Specific topics will be discussed, including power and sample size analysis, equivalence testing, multiple testing, one-sided versus two-sided tests, significance versus relevance, measures for association (correlation, relative risk, odds ratio) , and aspects of non-parametric statistics.

Finally, the analysis of survival data will be discussed, including the complication of censoring, Kaplan-Meier estimation, and logrank and wilcoxon tests. All topics covered in the course will be illustrated using real data, and a lot of attention will be given to the use and misuse of statistics in the bio-medical literature. Emphasis is on correct interpretation of statistical results, rather than on mathematical detail.

Objectives

  • Getting familiar with basic statistical concepts (population versus sample, causality, p-values, confidence intervals)
  • Getting familiar with the most frequently encountered statistical techniques (descriptive statistics, tests, measures of association)
  • Being able to correctly interpret statistics results reported in the bio-medical literature

Teaching methods

All tools will be introduced in a non-mathematical way. Instead, it is aimed to give intuition behind practical statistics and techniques. Theory will be illustrated extensively using examples from biomedical literature, with some discussion of what was done correctly and what is open for improvement.

Who should apply?

Clinicians who need an update of the basic statistical tools.

Detailed Programme Facts

  • Full-time duration 5 days
  • Languages
    • English
  • Delivery mode
    On Campus
  • Entry Level
    PhD

Programme Structure

Course code: EWP22

Faculty: Geert Verbeke

Date: February 25 March 1, 2016

Time: 13:00 18:00

Days: Monday to Friday

Course material: Online, download instructions will be sent in advance by e-mail.

Prerequisites: None

Course fee: 630

Lecturers

Geert Verbeke

Academic Requirements

  • Submit the online application form; select the course(s) of your choice
  • State on the form (REMARKS) that you are applying for a fellowship
  • Send the following documents by email to s.degroot@erasmusmc.nl
    • your motivation letter
    • your CV
    • copies of diploma’s and grade lists (in English)
    • one letter of recommendation
  • Only complete applications will be evaluated

Participants in previous editions of the Erasmus Winter and Summer Programmes, or the NIHES research training programmes, are not eligible for the Erasmus Winter Programme Fellowships.

Tuition Fee Per Module

  • EUR 630 International
  • EUR 630 EU/EEA

Funding

The Erasmus Winter Programme offers a limited number of Fellowships. Graduates from schools of medicine, dentistry and health sciences, who are currently working as a clinician, epidemiologist or public health professional, will be considered for the Fellowship programme. A good working command in English (both written and oral) is required.

The 2013 Fellowship includes

  • The tuition fee for one week course(s)
  • Course material (no books)
  • Certificate of attendance

Not included

  • Travel expenses to, from and within the Netherlands
  • Accommodation
  • Meals

The following courses are not part of the Fellowship programme:

  • Biostatistics for Clinicians
  • Regression Analysis for Clinicans
  • Survival Analysis for Clinicians
  • Principles of Epidemiologic Data-analysis

How to apply

  • Submit the online application form; select the course(s) of your choice
  • State on the form (REMARKS) that you are applying for a fellowship
  • Send the following documents by email to s.degroot@erasmusmc.nl
    • your motivation letter
    • your CV
    • copies of diplomas and grade lists (in English)
    • one letter of recommendation
  • Only complete applications will be evaluated

Participants in previous editions of the Erasmus Winter and Summer Programmes, or the NIHES research training programmes, are not eligible for the Erasmus Winter Programme Fellowships.

Visa

If you need a visa for the Netherlands, please contact the Embassy of the Kingdom of the Netherlands in your country to check the procedure.

The Erasmus Winter Programme Fellowships are exclusively available to students and staff of NIHES partner institutes.

Deadline for application: December 1, 2012

StudyPortals Tip: Students can search online for independent or external scholarships Students can that can help fund their studies. Check the scholarships to see whether you are eligible to apply. Many scholarships are either merit-based or needs-based.

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