Evidence Integration and value of information

Decision makers responsible for managing public and population health risks are increasingly faced with challenges in integrating information from multiple sources to support evidence-based risk decision making. To meet these challenges, a new framework for evidence integration will be developed to provide guidance on how best to synthesize information from all relevant sources to support the best possible risk decisions. This framework will also provide guidance on the use of big data in evidence integration.

Statistical perspectives on the use of pharmacovigilance data and electronic health records to verify predicted chemical hazards of drugs from in-vitro toxicological data

The liver is considered as one of the organs that are highly susceptible to drug-induced toxicity, leading to a diverse set of responses such as acute liver injuries, black-box warnings, and possible market withdrawal of medications in spite of having first appeared non-toxic and effective in animal and clinical studies. Over the last few decades, drug safety assessment have been limited to animal studies and human clinical trials.

Development of Climate and Infrastructure Forensic Analysis Systems: A BayesianPerspective

This project will upgrade the Climate and Infrastructure Forensic Analysis System (CIFAS), originally developed to characterize snow- and permafrost-related impacts to ground transportation and mine access roads in the Canadian North. My first objective is to enhance the analytical capacity of CIFAS by improving its ability to quantify uncertainties associated with empirical knowledge used to causally connect infrastructure service levels with climate-induced disturbances, as well as with climate projections from climate models.

Statistical Perspectives on Drug Safety Screening using Spontaneous Reporting Data and Electronic Health Records

Screening spontaneous reporting (SR) or electronic health records (EHR) data sets for adverse drug reactions (ADRs) has become an important component of drug safety. Much methodological work has been historically done on SR data, however, novel approaches are continually being suggested which merit critical review. Thus, we will first investigate some of these approaches as well as consider the issues of drug-drug interactions in SR data. Next, we will address the analysis of EHR data from two perspectives.

Human Health Risk Assessment of Manganese and Inorganic Manganese Compounds and the Application of Categorical Regression in the Quantitative Risk Assessment of Manganese

Risk Sciences International is currently completing a comprehensive risk assessment of the potential human health effects of manganese. This assessment involves a systematic review of the worlds’ literature on epidemiological and toxicological studies of manganese, following which an international expert panel has scored all of the adverse health outcomes identified through this review using a 12-point severity scoring scale.