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.
Our professional statistical analysis of your data provides clear and structured results.
To get the possible significance from a trial or survey you need a precise question and an accurate design.
With a steep rise in number of publications and patents, it is a challenge to maintain a complete, exhaustive summary of current evidence basis relevant to a research question.
Professional data management is the basis for the quality of each study's data and therefore for the quality of its results.
BioMath develops individual software solutions for fields of applied statistics and experimental design.