CORTEX fellows training course in biostatistics, University of Zurich, October 2006

**Time:**

Date |
Time |
Lecturer |
Subject |
Venue |

October 18 |
0900-1200 and 1330-1630 |
Dr. Christof Luchsinger |
Theory |
Uni Irchel, Seminarraum 55 H 12 |

October 19 |
0900-1200 and 1330-1630 |
Dr. Jürg Schwarz |
SPSS-Applications (Data Analysis) |
Uni Irchel, 01 F 08 |

**Lecturers:**

- Dr. Christof Luchsinger, +41 43 243 15 08, jobs@math-jobs.com
- Dr. Jürg Schwarz, +41 43 634 27 55, juerg.schwarz@schwarzpartners.ch

**Aims of the Course: Participants...**

- have basic knowledge of probability theory
- can solve simple statistical problems without help
- can reconstruct the train of thought of correct solutions to more complicated problems
- have basic knowledge of statistics, enabling them to familiarize themselves with more advanced topics in the literature given below & follow more advanced courses at www.math-jobs.com/conf.html
- have SPSS-Documentation to methods treated (no complete introduction!)
- see limitations of statistical reasoning

**We are going to omit (among other topics):** descriptive statistics (important, read yourself, too time-consuming);
Design of Experiments (important, too individual, too time-consuming, we touch some of it); Quality control

**The way I teach:** A script is online (below). Please print it out.
Therefore you are not going to lose time just copying from the blackboard or OHP. Instead, we are going to solve many
problems in class. For example, I will first motivate the term of "Mean" (or "Variance"), then give the definition, then I
solve 1 or 2 problems using this new statistical concept, then maybe one problem will be solved together in class, then you
have to solve some problems yourself. Finaly, at the end of the day there is time to solve additional exercises with me being
present in the class room. Teaching will be very interactively. I will omit almost all proofs!

The binomial distribution (a discrete random variable) and the normal distribution (a continuous random variable) will be
treated broadly. We will present the theory using the binomial and normal random
variables.

Please bring light pens (Leuchtstifte) in the following three colours to the course: Blue="Structure", Red="Danger" and
Green="important, learn by heart".

**Contents / Downloads (Script):**

- First day: Theory
- Second day: SPSS-Applicationc (Data Analysis)

Above script is what you need for these two days. If you are interested in the entire script, see this website.

**Prerequisits:**

- BSc/MSc or PhD Natural Science, Pharmacy, Medicine.
- and
- 1 Semester of Introductory Probability Theory and Statistics and/or
- extremly motivated and numbers loving - participants must go through tough theory so that they can follow more advanced courses later on

- Suggested preparation: Cartoon Guide to Statistics (easy to read).

**Literature:** Script.

In particular the following 2 books:

- easy to read: The cartoon guide to Statistics by L. Gonick and W. Smith, HarperPerennial
- more serious: Statistische Datenanalyse by W.A. Stahel (ETH Zürich), Vieweg

Something in English:

- Fundamental Concepts in the Design of Experiments by C.R. Hicks, Oxford University Press, New York, 1993

**Links:**

- Full script; script of CORTEX fellows training course in biostatistics is part of full script.
- Script for BSc students of Science (Summer 06, UZH) at Stochastik für die Naturwissenschaften
- More advanced courses at www.math-jobs.com/conf.html
- Consulting Services

Webmaster: Dr. Christof Luchsinger / jobs@math-jobs.com