1.
Greenwood, D. In vitro veritas? Antimicrobial susceptibility tests and their clinical relevance. Journal of Infectious Diseases
1981; 144: 380–385.
2.
Greenwood, D. Detection of antibiotic resistance in vitro. International Journal of Antimicrobial Agents
2000; 14: 303–306.
3.
Clinical and Laboratory Standards Institute. Performance standards for antimicrobial disk and dilution susceptibility tests for bacteria isolated from animals; approved standard, 2nd edn. Wayne, PA, USA. Clinical and Laboratory Standards Institute, 2013.
4.
Kahlmeter, G, et al.
European harmonization of MIC breakpoints for antimicrobial susceptibility testing of bacteria. Journal of Antimicrobial Chemotherapy
2003; 52: 145–148.
5.
Simjee, S, et al.
Potential confusion regarding the term 'resistance' in epidemiological surveys. Journal of Antimicrobial Chemotherapy
2008; 61: 228–229.
6.
Metzler, C, DeHaan, R. Susceptibility tests of anaerobic bacteria: statistical and clinical considerations. Journal of Infectious Diseases
1974; 130: 588–594.
7.
Murray, P, Zeitinger, J, Krogstad, D. Reliability of disc diffusion susceptibility testing. Infection Control
1982; 3: 230–237.
8.
Klement, E, et al.
Assessment of accuracy of disk diffusion tests for the determination of antimicrobial susceptibility of common bovine mastitis pathogens: a novel approach. Microbial Drug Resistance
2005; 11: 342–350.
9.
Kuper, KM, et al.
Antimicrobial susceptibility testing: a primer for clinicians. Pharmacotherapy
2009; 2: 1326–1343.
10.
Turnidge, J, Paterson, DL. Setting and revising antibacterial susceptibility breakpoints. Clinical Microbiology Reviews
2007; 20:391–408.
12.
Centers for Disease Control and Prevention. National Antimicrobial Resistance Monitoring System for Enteric Bacteria (NARMS): Human Isolates Final Report, 2010. Atlanta, Georgia: U.S. Department of Health and Human Services, CDC, 2012 (http://www.cdc.gov/narms/pdf/2010-annual-report-narms.pdf). Accessed 5 July 2012.
13.
Enoe, C, Georgiadis, M, Johnson, W. Estimation of sensitivity and specificity of diagnostic tests and disease prevalence when the true disease state is unknown. Preventative Veterinary Medicine
2000; 45: 61–81.
14.
Aarestrup, F. Monitoring of antimicrobial resistance among food animals: principles and limitations. Journal of Veterinary Medicine, B: Infectious Diseases and Veterinary Public Health
2004; 51: 380–388.
15.
Levy, S, Marshall, B. Antibacterial resistance worldwide: causes, challenges and responses. Nature Medicine Supplement
2004; 10: S122–S129.
16.
McEwen, S, Fedorka-Cray, P. Antimicrobial use and resistance in animals. Clinical Infectious Diseases
2002; 34: S93.
17.
Vieira, AR, et al.
Using data on resistance prevalence per sample in the surveillance of antimicrobial resistance. Journal of Antimicrobial Chemotherapy
2008; 62: 535–538.
18.
Phillips, I. The 1997 Garrod Lecture. The subtleties of antibiotic resistance. Journal of Antimicrobial Chemotherapy
1998; 42: 5–12.
19.
Caprioli, A, et al.
Monitoring of antibiotic resistance in bacteria of animal origin: epidemiological and microbiological methodologies. International Journal of Antimicrobial Agents
2000; 14:295–301.
20.
Varaldo, P. Antimicrobial resistance and susceptibility testing: an evergreen topic. Journal of Antimicrobial Chemotherapy
2002; 50: 1–4.
21.
Benedict, et al.
Methodological comparisons for antimicrobial resistance surveillance in feedlot cattle. BMC Veterinary Research
2013; 9: 216.
22.
Alexander, TW, et al.
A multiplex polymerase chain reaction assay for the identification of Mannheimia haemolytica, Mannheimia glucosida, and Mannheimia ruminalis
. Veterinary Microbiology
2008, 130: 165–175.
23.
Alexander, TW, et al.
Recovery of antimicrobial-resistant Escherichia coli after storage of bovine feces in Cary-Blair medium. Canadian Journal of Microbiology
2009, 55: 1224–1227.
24.
Lunn, D, et al.
WinBUGS – a Bayesian modeling framework: concepts, structure, and extensibility. Statistics and Computing
2002; 10: 325–337.
25.
Branscum, AJ, Gardner, IA, Johnson, WO. Estimation of diagnostic-test sensitivity and specificity through Bayesian modeling. Preventative Veterinary Medicine
2005; 68: 145–63.
26.
Johnson, W, Gastwirth, J. Dual group screening. Journal of Statistical Planning and Inference
2000; 83: 449–473.
27.
Schenker, N, Gentleman, J. On judging the significance of differences by examining the overlap between confidence intervals. Journal of the American Statistical Association
2001; 55: 182–186.
28.
Altman, D, Bland, J. Diagnostic tests 2: predictive values. British Medical Journal
1994; 309:102.
29.
Rao, S, et al.
Antimicrobial drug use and antimicrobial resistance in enteric bacteria among cattle from Alberta feedlots. Foodborne Pathogens and Disease
2009; 7:449–457.
30.
Watts, J, et al.
A 4-year survey of antimicrobial susceptibility trends for isolates from cattle with bovine respiratory disease in North America. Journal of Clinical Microbiology
1994; 32: 725–731.
31.
Georgiadis, et al.
Correlation adjusted estimation of sensitivity and specificity of two diagnostic tests. Journal of the Royal Statistical Society: Series C (Applied Statistics)
2003; 52: 63–76.
32.
Gelman, A, Rubin, D. Inference from iterative simulation using multiple sequences. Statistical Science
1992; 7: 457–511.
34.
Hui, S, Walter, S. Estimating the error rates of diagnostic tests. Biometrics
1980; 36: 167–171.
35.
Livermore, D, McGowan, A, Wale, M. Surveillance of antimicrobial resistance. British Medical Journal
1998; 317: 614–615.
36.
Greiner, M, Gardner, I. Application of diagnostic tests in veterinary epidemiologic studies. Preventative Veterinary Medicine
2000; 45: 43–59.
37.
Thrusfield, M. Veterinary Epidemiology, 3rd edn. Oxford: Blackwell Science Ltd, 2005.
38.
Toft, N, Jorgensen, E, Hojsgaard, S. Diagnosing diagnostic tests: evaluating the assumptions underlying the estimation of sensitivity and specificity in the absence of a gold standard. Preventative Veterinary Medicine
2005; 68: 19–33.