Services: Statistical Support

Environmental Data Management

Environmental Data Management

The task of assimilating, normalizing, digesting, interpreting and disseminating data is an integral part of any project. We specialize in all aspects of environmental data management from data processing to database design and implementation. Our staff is experienced in collecting data from a wide variety of databases, including SQL, no-SQL, EQuIS and Microsoft Access. We can parse data out of poorly structured XML and invalid HTML documents and can deal with missing data through multiple-imputation or the use of advanced models that improve model accuracy.

Fristachi Scientific Consulting employs rigid Quality Assurance/Quality Control (QA/QC) standards in all data management projects. Whenever possible, metadata or data which describe the data are maintained or generated to accompany the data and provide context. Please click here to read our Data Security Policy.

Data Analysis

Data Analysis

Having conducted hundreds of research studies, Fristachi Scientific Consulting has the ability to blend quantitative and qualitative analyses, and engage in statistical analyses of any complexity. Our methodological background enables us not only to report numbers but also to understand what they mean in context.

We have a broad range of experience providing solutions through the application of a vast array of statistical and numerical methods. Our comfort with virtually all higher-level quantitative methodologies and our expertise in applying these tools enables us to assist with virtually any environmental data problem. This includes implementing and interpreting statistical methods which are unique to environmental research such as vapor intrusion modeling, fate and transport modeling, or probabilistic exposure modeling. Here is a sample of some of the analytical tools with which we are familiar:

  • Various forms of Regression Analysis, including Non-Linear Regression and Ridge Regression
  • Survival Analysis including Kaplan-Meier Analysis
  • Time Series Analysis
  • Complex survey data methods for use with data such as NHANES
  • Statistical Power Analysis for Sample Size determination
  • statistical sampling design
  • Multivariate Analysis (with multiple outcome variables), such as MANOVA and MANCOVA.
  • Mixed Models
  • Cluster analysis methods such as k-means clustering and hierarchical cluster analysis
  • Markov Chain Monte Carlo and similar methods
  • Nonparametric Methods
  • Meta-Analysis
  • Structural Equation Modeling (SEM), Principle Component Analysis (PCA) and Multidimensional Scaling
  • Vapor intrusion modeling using the Johnson and Ettinger model, fate and transport modeling
  • Subsurface Fate and transport modeling
  • Various Bootstrapping and Jackknife techniques
  • Spatial Analysis

Our team has strong computing skills working with many analytical software programs, including

  • R, SPSS, SAS, STATA, Matlab, ProUCL and Visual Sample Plan for Statistical Analysis
  • NVivo for Qualitative Research
  • RBCA Toolkit, BMDS, CalPUFF, RESRAD for Environmental Modeling
  • LISREL for Structural Equation Modeling