Each research project - from simple experiments to complex studies - requires structural planning and correct statistics.
Before starting a project, we help you to map the key concepts underpinning a research area and the main sources and types of evidence available.
Working closely with you, we analyze your problem, formulate the statistical question, and provide appropriate statistical methods and tools to achieve the desired result.
We will statistically support your project from the initial idea to the interpretation and the presentation of the results - in a study report or scientific journal.
Each research project - from simple experiments to complex studies - requires structural planning and correct statistics.
Worldwide data provide the foundation on which technical, scientific and economic knowledge is built.
Life science products are observed often and continuously (post-market), or specific information is surveyed by collecting data on the magnitude, patterns, determinants and consequences of its use and exposure.
Life science products and research results require proof of efficacy and the assessment of possible risks to human and animal health, or to the environment.
Experimental research in the life sciences seeks to develop fundamental knowledge or to assess the influence of biotic or abiotic variables on living organisms.
Statistics plays a crucial role in clinical trials and is involved in every step of clinical research.
Lernen Sie die Grundlagen der Datenanalyse mit Python in einem flexiblen, selbstständigen E-Learning-Kurs – ohne Vorkenntnisse in Programmierung oder Statistik.