Mark R Powell

Summary

Affiliation: Agricultural Research Service
Country: USA

Publications

  1. ncbi The economic efficiency of sampling size: the case of beef trim revisited
    Mark R Powell
    United States Department of Agriculture, Office of Risk Assessment and Cost Benefit Analysis, Washington, DC 20250, USA
    Risk Anal 33:385-96. 2013
  2. ncbi Considering uncertainty in comparing the burden of illness due to foodborne microbial pathogens
    M Powell
    Office of Risk Assessment and Cost Benefit Analysis, US Department of Agriculture, Washington, DC 20250, USA
    Int J Food Microbiol 69:209-15. 2001
  3. ncbi Considering the complexity of microbial community dynamics in food safety risk assessment
    Mark Powell
    US Department of Agriculture, Office of Risk Assessment and Cost Benefit Analysis, 1400 Independence Ave, SW, 5248 S Ag Bldg, Washington, DC 20250, USA
    Int J Food Microbiol 90:171-9. 2004
  4. ncbi Bayesian synthesis of a pathogen growth model: Listeria monocytogenes under competition
    Mark R Powell
    U S Department of Agriculture, Office of Risk Assessment and Cost Benefit Analysis, 1400 Independence Ave, SW, 5248 S Ag Bldg, Washington, DC 20250, USA
    Int J Food Microbiol 109:34-46. 2006
  5. ncbi Modeling the frequency and duration of microbial contamination events
    Mark R Powell
    United States Department of Agriculture, Office of Risk Assessment and Cost Benefit Analysis, Washington, DC 22205, USA
    Int J Food Microbiol 110:93-9. 2006
  6. ncbi Analyzing the power and error of Listeria monocytogenes growth challenge studies
    Mark R Powell
    United States Department of Agriculture, Office of Risk Assessment and Cost Benefit Analysis, Washington, DC 20250, USA
    Int J Food Microbiol 136:10-7. 2009
  7. ncbi Quantifying the robustness of a broth-based Escherichia coli O157:H7 growth model in ground beef
    Danilo T Campos
    Department of Biosystems and Agricultural Engineering, Michigan State University, East Lansing, Michigan 48824, USA
    J Food Prot 68:2301-9. 2005

Collaborators

Detail Information

Publications7

  1. ncbi The economic efficiency of sampling size: the case of beef trim revisited
    Mark R Powell
    United States Department of Agriculture, Office of Risk Assessment and Cost Benefit Analysis, Washington, DC 20250, USA
    Risk Anal 33:385-96. 2013
    ....
  2. ncbi Considering uncertainty in comparing the burden of illness due to foodborne microbial pathogens
    M Powell
    Office of Risk Assessment and Cost Benefit Analysis, US Department of Agriculture, Washington, DC 20250, USA
    Int J Food Microbiol 69:209-15. 2001
    ..Although some would argue that the expected value of the number of illnesses provides the "best estimate" for decision-making, this merely reflects a decision-making rule of convention and not a scientific truism...
  3. ncbi Considering the complexity of microbial community dynamics in food safety risk assessment
    Mark Powell
    US Department of Agriculture, Office of Risk Assessment and Cost Benefit Analysis, 1400 Independence Ave, SW, 5248 S Ag Bldg, Washington, DC 20250, USA
    Int J Food Microbiol 90:171-9. 2004
    ..A potential means of incorporating community-level microbial dynamics into the food safety risk assessment process is explored...
  4. ncbi Bayesian synthesis of a pathogen growth model: Listeria monocytogenes under competition
    Mark R Powell
    U S Department of Agriculture, Office of Risk Assessment and Cost Benefit Analysis, 1400 Independence Ave, SW, 5248 S Ag Bldg, Washington, DC 20250, USA
    Int J Food Microbiol 109:34-46. 2006
    ..monocytogenes growth in a food with mixed microbial populations. Based on a specified tolerance for L. monocytogenes growth, the updated model provides a storage time limit for fish held at 5 degrees C, pH 6.8, 43% CO(2), 57% N(2)...
  5. ncbi Modeling the frequency and duration of microbial contamination events
    Mark R Powell
    United States Department of Agriculture, Office of Risk Assessment and Cost Benefit Analysis, Washington, DC 22205, USA
    Int J Food Microbiol 110:93-9. 2006
    ..The Bayesian Information Criterion provides a formal way of taking into account model uncertainty...
  6. ncbi Analyzing the power and error of Listeria monocytogenes growth challenge studies
    Mark R Powell
    United States Department of Agriculture, Office of Risk Assessment and Cost Benefit Analysis, Washington, DC 20250, USA
    Int J Food Microbiol 136:10-7. 2009
    ..05 and power >or=0.8 to detect a 1 log(10) increase in mean concentration over the entire range of measurement uncertainty values for enumeration of L. monocytogenes reported in food samples in a validation study of ISO Method 11290-2...
  7. ncbi Quantifying the robustness of a broth-based Escherichia coli O157:H7 growth model in ground beef
    Danilo T Campos
    Department of Biosystems and Agricultural Engineering, Michigan State University, East Lansing, Michigan 48824, USA
    J Food Prot 68:2301-9. 2005
    ..However, the RI also was related (P < 0.05) to temperature. By quantifying the predictive accuracy relative to the expected accuracy, the RI could be a useful tool for comparing various models under different conditions...