The division of Biostatistics offers three consecutive statistics lecture series starting every summer semester.The aim of the courses is to enable the participants to perform simple analyses by themselves, to recognize when professional statistical advice is needed and to facilitate cooperation between researchers and the division of Biostatistics. The topics that are covered are chosen according to the needs of researchers at the DKFZ. For details about dates and location please visit the Training Portal (for DKFZ employees on the intranet), the Heidelberg University Lecture Index, or contact the division of Biostatistics.

Lecture series for researchers and PhD students in the biological or clinical sciences without prior knowledge in statistics.

Topics:

• Descriptive statistics: plots, measures of location and spread
• Confidence intervals
• Statistical hypothesis testing, p-value, etc.
• Statistical tests for quantitative data, e.g., t-test
• Statistical tests for qualitative data, e.g., chi-square test
• Correlation and regression
• Study design

This lecture series accompanies "Basic Principles of Biostatistics" and shows how the methods introduced there are coded in R. Participants should have a working R installation on their computers.

Team-taught lecture series by members of the division of Biostatistics for researchers and PhD students in the biological or clinical sciences with basic knowledge of statistics.

Topics:

• Analysis of Variance
• Non-parametric methods
• Multiple linear regression
• Logistic regression
• Linear mixed models
• Dose-response modeling
• Diagnostic tests
• Measuring agreement
• Survival analysis: Kaplan-Meier curves, logrank tests, Cox PH regression
• Variable selection in regression
• Design of clinical trials
• Multiple Testing
• Introduction to Bayesian thinking

This lecture series accompanies "Advanced Topics in Biostatistics" and shows how the methods introduced there are coded in R. Participants should have some basic R programming skills, including the ability to use the basic statistical methods shown in the "Basic principles" course.
In addition to the courses organized by the division of Biostatistics, the Advanced Training department of the DKFZ also offers programming courses in R and SAS, and the Genomics and Proteomics Core Facility at DKFZ offers courses on specific data analysis tools for high-throughput genomics data. DKFZ employees please visit the Training Portal for further information.