Phase Iib-III Clinical Trials - Biostatistics and Statistical Programming

Statistical skills and experience. Precise analyses.

inVentiv Health Clinical biostatisticians have a broad knowledge base in all aspects of clinical trials, from  the initial stage of planning the design and calculating sample size requirements, to analyzing, displaying and interpreting data in the final stages of the study. In addition, our  biostatistics team has significant  experience preparing analyses for regulatory submissions in a manner that facilitates their review.  inVentiv Health Clinical experts plan the analyses you’ll need before the study begins, then provide reports, statistical summaries, and efficacy and safety analyses promptly and accurately as the study progresses.

We can leverage our vast statistical experience to design studies in a way that speeds submissions. Our thorough validation and quality control processes will eliminate the need for corrections and ensure accurate results. By applying standard templates and programs with customization as needed, we will provide efficient, high quality analyses for your project.

Biostatistics services include:

  •  Data Mining
    • Machine Learning
    • Pattern Recognition
    • Neural Networks
    • Fuzzy Sets
    • Multilayer Perceptron (MLP)
    • Support Vector Machines (SVMs)
    • Discrete Wavelet Transformation (DWT)
    • Fast Fourier Transform (FFT)
    • Boosting
  • Cost-effectiveness & Finance
    • Agent-Based Model (ABM)
    • Stress Testing
    • Backtesting
    • Valuation
    • Loss Mitigation
    • Brownian Motion
    • Stochastic Differential Equations (SDE)
  • Outcome Research
    • Psychometrics
    • Cross Validation
    • Item Response Theory
      • Score Augmentation
      • Differential Item Functioning (DIF)
      • Local Independence
      • Multidimensional IRT Models
      • Multifacet IRT Models
      • Latent Regression
      • Testlet
    • Structural Equation Modeling
      • Longitudinal Factor Analysis
      • Generalized Latent Variable Modeling
      • Growth Curve Modeling
      • Mediation and Moderation Analyses
      • Monte Carlo Simulations