Our Expertise
Statistical Services
- We can support the planning and analysis of your clinical trial program. In addition, we can provide expert statistical solutions and experienced technical advice.
- Our experts provide various services to understand the effect of a test product on safety. For example, we carry out planned analyses.
- Our team ensures accurate results in a timely fashion. In addition, quality control is achieved for analyzing datasets via independent programming.
- We provide many ad hoc analyses for publication summaries and external/internal review meetings.
Our Statistical Services
- Statistical input into study design and protocol development
- Adaptive study designs
- Sample size calculations
- Analysis plans
- Optimizing study success
- Identifying the primary endpoint
- Modeling and simulation
- Prediction of drug exposure
- Optimal evaluation of information for on-going clinical trials (interim analyses, sequential trial monitoring)
- Independent data monitoring committees
- Setting up randomization schemes
- Multiplicity (optimally evaluate more than one outcome in a trial)
- Regulatory advice
- Observational and epidemiological studies
- Interpretation of results
- Data visualization
- Statistical training
- CDISC and ADaM submission-ready dataset development and quality control for submission compliance
- Analysis of dataset development and quality control
- Analysis of dataset development and quality control for Integrated Summaries of Safety (ISS) and Integrated Summaries of Efficacy (ISE))
- Tables, listings, and figures development and quality control
- Tables, listings, and figures development and quality control for ISS and ISE
- Interim analysis support
- Annual clinical trial safety updates
- Data monitoring committee, safety committee, and endpoint committee support
Discover our experts’ secret tutorials
Independent Samples T-Test
The independent-samples t-test is used to determine if a difference exists between the means of two independent groups on a continuous dependent variable. More specifically, it will let you determine whether the difference between [...]
Binomial Logistic Regression
A binomial logistic regression attempts to predict the probability that an observation falls into one of two categories of a dichotomous dependent variable based on one or more independent variables that can be either [...]
Paired-Samples T-Test
The paired-samples t-test is used to determine whether the mean difference between paired observations is statistically significantly different from zero. The participants are either the same individuals tested at two time points or under [...]
Regression Analysis
A simple linear regression assesses the linear relationship between two continuous variables to predict the value of a dependent variable based on the value of an independent variable. More specifically, it will let you: [...]