Causal Analytics Toolkit (CAT)

Tony Cox
developed by Dr. Louis Anthony (Tony) Cox, Jr.

The George Washington University Regulatory Studies Center is proud to partner with risk analyst Dr. Louis Anthony (Tony) Cox, Jr. on the release of his new Causal Analytics Toolkit (CAT), an Excel-based tool for Windows users that provides simple, powerful commands and a point-and-click interface for doing advanced analytics.

Government policies are often supported by evidence of statistical associations between events (such as changes in environmental exposure to a substance or changes in economic conditions) and endpoints (such as health effects or gross domestic product), but these associations usually rely on untested (and often potentially biased, mistaken, or uncertain) modeling assumptions. As a result, they may not describe a true cause and effect relationship. Policy decisions based on unreliable models are not only at risk of failing to achieve desired results, but may divert scarce resources from more productive uses.

While objective and rigorous methods of causal analysis can help to formulate and test causal hypotheses and to estimate causal impacts of changes in certain conditions on desired outcomes, they are not readily accessible to users who are not specialists in causal modeling and modern computational methods and software. This may include many in the risk analysis, environmental, and policy analysis communities who might want to carry out appropriately sophisticated causal analyses of observed patterns, but who are currently limited by software packages and methods that only calculate measures of association, such as regression models, odds ratios, and confidence intervals.

The Causal Analytics Toolkit (CAT) provides powerful, easy-to-use software to help overcome these limitations. It makes state-of-the-art causal analytics available to anyone who has Microsoft Excel.

  • Click here to download Dr. Cox's PowerPoint slides from his 5/6 demonstrations at the George Washington University

  • Visit Cox Associates' website for more information on CAT

  • Download a free full working copy of CAT