Drawing Conclusions from Data: an Introduction


This course aims to provide insight into basic statistical concepts with emphasis on practical applications. Mathematical formulae will be kept to a minimum. The theory and the methods of analysis will be extensively illustrated with examples relating to a wide variety of different fields. To emphasize the practical approach in this course all classes will take place in a pc room.

This course is part of a larger course series in Data Analysis consisting op 19 individual modules. Find more information and enroll for this module via www.ipvw-ices.ugent.be

The first session will be dedicated to getting to know the software package R (and SPSS). Participants are encouraged to participate in both parts.

We start with concise graphical and numerical descriptions of data obtained from observational or experimental studies. The most common and frequently used probability distributions of discrete and continuous variables will be presented. Statistical inference draws conclusions about a population based on sampled data. Chance variations are taken into account such that a level of confidence is attached to these conclusions.

We present the reasoning behind significance tests for the comparison of observed data with a hypothesis, the validity of which we want to assess. We apply this procedure to data obtained either from one or from two populations.

The correct use of the t-test will be discussed. Nonparametric methods are considered as a possible alternative in case the requirements of the t-test are not met.

We cover the basic concepts of hypothesis testing for categorical data, including the chi-square test.

Quite often the relationship between two variables, where the outcome of one variable is seen as depending on the value of the other, is the focus of scientific interest.

We will give an introduction to linear regression analysis, where a regression line based on observations obtained in a sample describes this relation.

Hands-on exercises are worked out behind the PC using the R software. If preferred, participants can use SPSS.

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Drawing Conclusions from Data: an Introduction

  • Type of course: This is an on campus course.
  • Dates & times: November 9, 16, 23 and 30, December 7 and 14, 2021, from 5.30 pm till 9.30 pm.
  • Venue: UGent, Faculty of Sciences, Campus Sterre, Krijgslaan 281, building S9, 9000 Gent
  • Target audience: This course will benefit professionals and investigators from diverse areas, research scientists, clinical research associates, investing in data handling and wishing to acquire insight into basic statistical methods or to refresh their knowledge and practice of statistics.
  • Exam/certificate: Participants who attend all classes receive a certificate of attendance via e-mail at the end of the course. Participants can, if they wish, take part in an exam. Upon succeeding in this test a certificate from Ghent University will be issued. The exam consists of a take home project assignment. Students are required to write a report by a set deadline.
  • Course prerequisites: The course is open to all. It is necessary to have an understanding of basic algebra (basic rules, solving equations, ...), exponents and square roots.
  • Funding: Our academy is recognised as a service provider for the 'KMO-portefeuille'. In this way small and middle sized businesses located in the Flanders region can save up to 30% on the registration fee for our courses. You can request this subsidy via www.kmo-portefeuille.be up until 14 calender days after the course has started.
  • Enrolling for this course is possible via the IPVW-ICES website.