Statistical Analysis Workshop

Dr. Friedrich Pahlke, Evidat

13 February + 16 February 2015
8:30-13:30
Conference Room Dijkstra (Geb.64, Ground Floor)

Workshop "Statistics and Data Analysis"

 

Content

1.    Plan a trial

1.1.  How do I estimate my number of cases and why?

2.    Data capturing

2.1.  How to avoid input and transmission errors?

2.2.  How can I restructure and format my data so that I can start with the statistical analysis directly after data capturing?

3.    Correct classification of parameters/variables

3.1.  Scale, categorical/nominal or ordinal? What is the right class and what are the consequences for the analysis?

4.    Data representation and data quality checks

4.1.  How do I present my data in a compact and clear way?

4.2.  Which key indicators (position and scattering parameters) and graphic types are particularly well suited for my data?

4.3.  How can I detect quality problems (e.g. inconsistencies) in my data on time?

5.    Comparing groups and proving correlations

5.1.  Which method of analysis (e.g. statistical test) is suitable when?

5.2.  How do I check the preconditions and requirements for the method of my choice?

5.3.  How do I interpret my analysis results?

5.4.  Which key figures and statistical parameters should be used in my thesis/publication?

6.    Use the best trial type

6.1.  What types of trials do exist?

6.2.  How do I randomize subjects (e.g. mice) to treatment groups?

7.    Aids and Tools

7.1.  How do I use Excel as a simple tool for the processing of analysis results?

7.2.  Brief overview of common tools: SPSS, Prism, R

8.    Literature and further help

8.1.  What books are suitable in practice?

8.2.  How and where can I get help for my individual analysis problems?