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
- Knowledgeable and customer-focused support for randomization
- Statistical programming
- Statistical analyses
- Statistical reporting
- CDISC and ADaM Submission-ready Dataset Development and Quality Control for Submission Compliance
- Analysis Dataset Development and Quality Control
- Analysis 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 (DMC), 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: [...]