FEB 03, 2016 03:00 PM PST

Critical Appraisal of Animal Studies

C.E. CREDITS: RACE
Speakers
  • Professor of Epidemiology, Iowa State University
    Biography
      Dr. O'Connor is a veterinarian, epidemiologist and research synthesizer. The work on research synthesis means that Dr. O'Connor regularly appraises primary research in all areas that involve animal based research : from veterinary to biomedical. Translation of animal based research and approach to improving reporting of animal based research are all areas of interest for Dr. O'Connor. Dr. O'Connor is also co-author of a recent special issue of Zoonoses and Public Health on conduct of systematic reviews in veterinary science. Information about how to conduct systematic reviews, tutorials and reviews conducted by Dr. O'Connor can be found at the site -SYstematic Reviews for Animals and Food --SYREAF (www.syreaf.org). Dr. O'Connor is an author of the REFLECT statement (www.reflect-statement.org ), a reporting guideline for interventions involving livestock and food safety outcomes (similar to the CONSORT statement). Dr. O'Connor recently published papers on assessing biases in biomedical studies that use animals.

      Dr. O'Connor received a Bachelor Of Veterinary Science (BVSc) from the University of Sydney in 1993, a Masters of Veterinary Science (MVSc) from the University of Queensland in 1997 and a Doctoral of Veterinary Science (DVSc) from the University of Guelph in 2001. In 2009, Dr. O'Connor was admitted as a Fellow of Epidemiology to the Australian and New Zealand College of Veterinary Scientists. Dr. O'Connor is Professor of Epidemiology at Iowa State University. Dr. O'Connor teaches epidemiology methods and inference in the Preventive Veterinary Medicine Program at Iowa State University the MPH program at the College of Public Health at the University of Iowa.

    Abstract:

    Understanding systematic biases in primary research are important for appropriate interpretation of research and recognizing features of reproducible research. Systematic biases arise from the approach to design of the study. Although many biases domains are common to all forms of research, it can often to difficult to map bias domains to particular practices or design features. In this presentation we will discuss the bias domains that occur in animal-based biomedical research and how to recognize them. The learning outcomes for the presentation are

    • Knowledge of the domains of systematic bias that can occur in animal-based biomedical research  
    • Knowledge of resources including checklists that readers can use to guide them through the critical appraisal of animal-based biomedical research

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