The biostatistics unit of Creascience offers consulting services based on the most recent mathematical and statistical tools. Services range from sample size computation, assistance in the design of a study or experiment, to state of the art data analysis & support in the interpretation of results.
Preparing Efficient Studies
Our team of experienced statisticians can help in the preparation of research protocols or in the validation of existing ones. In all cases, we follow ICH guidelines, FDA recommendations and any other relevant standard. Solutions we provide do not only meet regulatory requirements but are also cost-effective & maximise the chance of achieving the goals of the analysis.
Determining & Implementing the Appropriate Data Analysis Strategy
Our team can also assist you in the determination of the most appropriate data analysis strategy. The team has extensive knowledge of statistical methodology and global regulatory requirements. It can help write or review your statistical plan. Statisticians are proficient in the use of several powerful statistical software packages and have access to state-of-the-art tools to maximise the info extracted from your data.
Adapting Our Interventions to Your Needs
Our interventions are tailored to your needs and proficiency in the usage of statistical methods. Some clients consult us to validate their work – procedures & experimental setups or get recommendations for an adequate way to analyse data. Others ask us to oversee both the design & data analysis phases of a project. We also act as mentors for junior statisticians starting in a new position and lacking the experience in supporting a team of scientists.
Increasing the Self Sufficiency of Your Teams
We develop customised solutions combining training & adhoc support to develop the long-term autonomy of teams, as far as statistical methods are concerned. We favour long-term partnerships as it has proven to be the most efficient way to provide support by increasing the knowledge of the client’s goals & constraints and by making a better use of previous experiments to setup & interpreting the current ones.