Quantitative Risk Assessment and Statistical Analysis:

            Sielken & Associates have developed statistically based risk assessments for the cancer and noncancer health effects of substances, techniques for ecological risk assessment, and powerful general statistical computer software that can be applied to a wide range of problems. These state-of-the-art tools allow greater utilization of scientific information in human health and environmental risk assessments and provide additional useful information to the public, risk managers, judges, and juries.

             Experts in industry and government have long recognized that conventional decision making practices in regulatory agencies often result in very conservative decisions, because they rely on default assumptions that use a single worst-case number to describe each factor.  Sielken & Associates use the weight-of-the evidence approach to reflect the implications of all the available scientific information (not just the conservative default assumptions and simplified procedures). Sielken & Associates provides a methodology to avoid compounding worst-case assumptions. Probabilistic risk assessment, distributional analysis, advanced exposure and dose-response modeling, and Monte Carlo techniques reveal more realistic estimates of risk in a diverse range of problems from Superfund and toxic tort cases, to aggregate and cumulative assessments required under the Food Quality Protection Act.