Services

Omega Statistical Consulting offers services of high quality. We achieve this by using scientific processes from the point when we receive the order from the client until delivery. Our services are intended to support our clients in several different areas connected to mathematical statistics/biostatiscal, e.g.: advice on available statistical methods to analyze your data checking, monitoring and analysing data writing reports based on the statistical analyses

 

Omega Statistical consulting services help resolve many technical and theoretical statistical problems as well as mathematical tasks using modern and up-to-date solutions, which use the information technologies in their applications. Among the services provided we found out the following ones:

Statistical & Mathematical Advises to multiple financials; medicals(biostatistics); pharmaceuticals companies; as well as collaboration in Researches and Development;

  • Data analysis;
  • Design Experiments
  • Interlaboratory Studies
  • Robust Analysis
  • Parametrical and Non Parametrical tests
  •  Bayesian Analysis
  •  Survival Analysis
  • Longidinal Studies
  • Demographical Tables Analysis
  • Statistical used in Trial Phases of Drugs;
  • Data mining (e.g. Neural Networking, Learning machine);
  • ANOVA, ANCOVA, META-ANALYSIS
  • Regression, confidence intervals
  • Surveys analysis, statistical estimations; times series; testing hypothesis; samples sizes, determination to optimize costs of data gathering and optimize the efficiency of statistical study; p-values;
  • Statistics for Business
  • Model creations for financials tasks;
  •  Stochastic Calculus as partials differentials  stochastic equations(e.g. Black and Scholes Models); value at Risk evaluation; Risk analysis for financials and assurances companies Probability Calculus
  • Exploring new mathematical and statistical techniques as well as their implementation on computer for automatic use and tailored for clients wish.
  • Conception and Implementation of statistical techniques for the need of clients;
  • Simulation: Monte-Carlo simulation; Empirical studies; Intensive simulations to evaluate and confirm the statistical and mathematical modelling approach to quantitative problems;
  •  Numerical analysis techniques to help implementing statistical and mathematical models;
  •  Treating optimisation problems for optimal solutions for there market tasks
  • Data Management
  • Statistical Analysis Plane