Machine Learning With a Human Touch

Classic biostatistics is a branch of statistical science. More specifically, it deals with data arising from biomedical research. The main focus of biostatistics is the application of statistical methods in public health, the life sciences and the pharmaceutical industry.

In recent years, biostatistics needed to adapt to important changes. It has become much more than the application of statistical methods to medical data. It has evolved into a complex scientific field requiring an evermore extended set of skills.

Advancement in computer technology translating into more computing power coupled with the rapid growth of life sciences (massive amount of information, e.g. genomics) helped establish the foundations of a more modern form of biostatistics.

Expert in Classical Statistical Theory – Proficient in Application of Modern Methods

In recent years, more emphasis is put on predictive modelling rather than explanatory modelling. Modern modelling techniques are needed to do so. They are invaluable to extract meaningful insights from observational studies collected during the research and development of medical devices.

Our team is proficient with modern biostatistics to tackle complex problems, and to identify complex relationships in datasets. They use classic tools combined with modern biostatistics to  develop statistical methodology & innovative applications to help understand problems in health science.

Our team of expert biostatisticians can perform a critical review of an area of biostatistical methodology relevant to health applications. They have devised several innovative application in the past. Here are some examples:

  • Development of a biostatistical methodology for the modelling of toxicology assays (clinical research).
  • Building models to predict the probability of developing cancer using an array of patient characteristics and medical analyses features (clinical research).
  • Building models to understand the key drivers impacting the recommended size of implants for surgeons (medical devices R&D).
  • Biostatistical analyses to quantify the evolution of tumour growth (clinical research).

Biostatistics Training Solutions for Research Staff

Our instructors have been offering for more than 25 years applied training sessions aimed at research staff to help them design experiments in the most efficient way and to help them carry out sound biostatistical data analysis.

Here are some topics covered during our in-house sessions:

  • Key concepts in biostatistics: statistical testing, sample size, outliers, etc.
  • Design of experiments – DoE.
  • Statistical data analysis.
  • Interpretation of statistical analysis results.
  • Scope and communication of medical findings.

For more information, have a look at our training catalog.

Biostatistics Training Solutions for Medical Staff

We have also developed applied training sessions aimed at medical staff (MSLs) to help them become more confident when discussing with leading healthcare providers about clinical results.

  • Key concepts in biostatistics: statistical testing, sample size, outliers, etc.
  • Understanding the mechanism of commonly used biostatistical methods for health applications.
  • Critical review of medical publications.

For more information, have a look at our training catalog. Feel free to contact us as well for more details.