Study design and reliability of study results.

Statistical power analysis and experimental designs of ecotoxicological semi-field and field-studies.


The course introduces theoretical principles of hypothesis testing, a-priori considerations for sound experimental designs and measures of after-the-fact reliability of study results.
Beyond theory, the focus lies on practical exercises using open-source software tools and gives room for discussion of the specific problems of the participants.
For this reason, using your own data is highly welcome.

Specific contents will be customized to suit your individual needs.

Possible programme:

Probabilities, principles of hypothesis testing & power analysis

A-priori planning
Estimate parameters from experience & calculate sample sizes

Interpretation & consequences of power analysis
Effect sizes, tailed-tests, compromise design, alpha-inflation

Reliability of test results
A posteriori power analysis calculation of Minimal detectable differences

Guideline development
Looking back on historical data and forward to proposed new OECD earthworm field study designs

Implications of different study designs – trade-off analysis

Alternative approaches to classical hypothesis testing


Dr. Björn Scholz-Starke is biologist and freelancer. He has many years of experience in regulatory ecotoxicology, risk assessment and statistics. His focus is on the development of sound statistical methods for analyzing ecotoxicological laboratory and higher-tier studies.
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