Bio Statistics
CCR Bio-Statistics Services
CCR offers specialized development and analyses of innovative clinical trials to maximize the probability of success and outcome. CCR uses blend of expertise ranging from Bayesian statistics, pharmacometry and scientific programming to develop by means of intensive simulations cost-effective clinical trials, including adaptive designs and analyses methods. We also produce the highest quality reports (TFLs) and contribute to the study reports and publications.
Stastical Analysis and Reporting
We adapt to any requirements your project has to overcome.
Meta-analysis
Creating a statistical analysis plan according to your needs.
Randomization
Our Team offers you any solution needed to achieve the required results.
Sample Size Estimation
Our plattform is ideal for fast and important tasks.
Biometrics
CCR provides Biometric input during the development of the clinical study protocol.
Statistical Modelling
Analyzing existing data can reveal a number of predictors, which might influence the future results using fomulated statistical models.
Predictive Analytics
Past and current data of a pharmaceutical or a medical device manufacturer company is used for creating conventional scientific, regulatory, and marketing/management or other type of reports.
What if however, past and current data would be used not just for analyzing the past or the present but also for forecasting the future?
Exploiting the patterns contained within your clinical or organizational data, CCR can design models to discover patterns and capture important trends. Techniques like data mining, statistics, modeling, imputation of missing data, and machine learning are used to analyze current data and to make predictions about the future.
Sometimes conventional methods of validating trial findings might be time and resource consuming, adding significant expenses to a project. In these cases, predictive analytics might help a faster validation of the results and a faster progress in the development of a product. Other clinical trial variables can also be subject of predictive analytics. Recruitment rate, the investigational medicinal product’s safety profile, various other endpoints or even the rate of dropouts can be forecasted based on the already captured data.
Data coming from non-clinical departments (like marketing, sales, management, human resources, finances etc.) or external data like patient reported outcomes, electronic health records or even data from social media could also be a basis for future predictions.
Our data scientist can support you with evaluating the possible use of your existing data, while our statisticians are ready to build up together with you the most reliable prediction models and to reveal the possible risks and opportunities.
Are you interested in our services?
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