Statistical Clarity
Defensible Statistical Analysis
Praxis provides statistical consulting grounded in rigorous methodology, helping clients extract clear, defensible insight from complex data through objective analysis and transparent reporting.
At Praxis, objective statistical methods are applied with rigor, transparency, and precision to support sound decision-making and defensible conclusions.
Probability & Statistical Inference
Probability and statistical inference to support risk analysis and decision-making.
Praxis applies rigorous probability and statistical methods to evaluate uncertainty and guide informed decisions. These analyses quantify risk, uncover patterns in complex data, and provide clients with defensible, actionable insights for both engineering and business applications.
Design of Experiments (DOE)
Design of Experiments to optimize designs and develop predictive models.
Praxis develops structured experimental plans to identify key factors influencing performance. By systematically varying inputs and analyzing outcomes, clients gain predictive insights that enhance design quality and reliability while reducing development costs.
Categorical Data Analysis
Categorical data analysis, logistic regression, and simulation-based studies.
Praxis uses categorical data techniques, logistic regression, and simulations to identify relationships and trends within complex datasets. This approach enables objective assessment of probabilities and outcomes, supporting defensible conclusions in engineering and litigation contexts.
Non-Linear Regression Modeling
Non-linear regression modeling to forecast outcomes such as revenue or reliability.
Praxis creates non-linear regression models to predict complex behaviors and outcomes, including product reliability or financial projections. These models allow clients to anticipate potential issues and make data-driven, evidence-based decisions.
Application of Statistical Models
Application of statistical models in diverse fields – from automotive safety to biomedical device comparisons.
Praxis implements tailored statistical models across a variety of industries, ensuring analyses are relevant, accurate, and applicable. By applying these models, clients gain insights that improve product performance, validate designs, and support technical or regulatory decision-making.
Consulting for Statistical Analysis
Representative Projects
01
Evaluating accuracy across different blood pressure monitoring systems.
02
Designing experiments to compare locomotive lighting systems.
03
Forecasting revenue and rental income using custom probability models.
04
Supporting accident reconstruction efforts with statistical analysis.
DATA ANALYSIS & STATISTICAL CONSULTING FOR LITIGATION MATTERS
At Praxis, we provide independent data analysis and statistical consulting services in support of expert witness and
litigation matters. We apply accepted statistical principles and rigorous analytical methods to evaluate evidence,
assess claims, quantify uncertainty, and communicate results clearly and objectively for courts, counsel, and
fact-finders. Our analyses and resulting opinions are rendered to a reasonable degree of scientific and statistical
certainty.