Our Expertise

Statistical Consulting

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

Clinical Data Management
  • 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

  • Statistical Consultant

Independent Samples T-Test

July 25th, 2021|0 Comments

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 [...]

  • statistical consulting

Binomial Logistic Regression

July 24th, 2021|1 Comment

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 [...]

  • statistical consulting

Paired-Samples T-Test

July 24th, 2021|0 Comments

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 [...]

  • statistical consulting

Regression Analysis

July 24th, 2021|0 Comments

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: [...]

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