Our Expertise

- We work to implement all of the latest advances in data standards and industry requirements. In addition, our programmers can offer our clients clean data.
- 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 or other points of interest.
- We carry out planned analyses which include QC of analysis datasets.
- Our team ensures accurate results in a timely fashion. 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 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 [...]
Linear 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: [...]
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 [...]
One-Way ANOVA
If you want to determine whether there are any statistically significant differences between the means of two or more independent groups, you can use a one-way analysis of variance (ANOVA). For example, you could [...]