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References

  • 1
    West CP, Ficalora RD. Clinician attitudes toward biostatistics. Mayo Clin Proc. 2007; 82:93943.
  • 2
    Association of American Medical Colleges. Contemporary Issues in Medicine: Basic Science and Clinical Research. Available at: https://services.aamc.org/publications. Accessed Aug 20, 2010.
  • 3
    Chapman DM, Hayden S, Sanders AB, et al. Integrating the Accreditation Council for Graduate Medical Education Core Competencies into the model of the Clinical Practice of Emergency Medicine. Ann Emerg Med. 2004; 43:75669.
  • 4
    Windish DM, Huot SJ, Green ML. Medicine residents’ understanding of the biostatistics and results in the medical literature. JAMA. 2007; 298:101022.
  • 5
    Hack JB, Bakhtiari P, O’Brien K. Emergency medicine residents and statistics: what is the confidence? J Emerg Med. 2009; 37:3138.
  • 6
    Gaddis ML, Gaddis GM. Introduction to biostatistics: part 1, basic concepts. Ann Emerg Med. 1990; 19:869.
  • 7
    Goodacre S. Critical appraisal for emergency medicine 2: statistics. Emerg Med J. 2008; 25:3624.
  • 8
    Carley S, Lecky F. Statistical consideration for research. Emerg Med J. 2003; 20:25862.
  • 9
    Biros MH. Emergency medicine research: where are we now and where do we need to be? Acad Emerg Med. 1997; 4:11013.
  • 10
    Lewis RJ. Statistical methodology and effective emergency medicine: what is the connection? [Commentary] Acad Emerg Med. 1996; 3:824.
  • 11
    Biros MH. SAEM emergency medicine research fellowship guidelines. Acad Emerg Med. 1999; 6:10678.
  • 12
    Barrett TW, Schriger DL. Measures of emergency department crowding, odds ratios, and the dangers of making continuous data categorical: answers to January 2008 Journal Club questions. Ann Emerg Med. 2008; 51:7829.
  • 13
    Weissman C. Analyzing intensive care unit length of stay data: problems and possible solutions. Crit Care Med. 1997; 25:1594600.
  • 14
    Kulinskaya E, Kornbrot D, Gao H. Length of stay as a performance indicator: robust statistical methodology. IMA J Manag Math. 2005; 16:36981.
  • 15
    Manning WG, Mullahy J. Estimating log models: to transform or not to transform? J Health Econ. 2001; 20:46194.
  • 16
    Altman DG. Practical Statistics for Medical Research. New York, NY: Chapman and Hall, 1991.
  • 17
    Vickers AJ. Parametric versus non-parametric statistics in the analysis of randomized trials with non-normally distributed data. BMC Med Res Methodol. 2005; 5:35.
  • 18
    Institute of Medicine (U.S.). Committee on the Future of Emergency Care in the United States Health System. Emergency Medical Services at the Crossroads. Washington, DC: National Academies Press, 2007.
  • 19
    Schull MJ, Vermeulen M, Slaughter G, Morrison L, Daly P. Emergency department crowding and thrombolysis delays in acute myocardial infarction. Ann Emerg Med. 2004; 44:57785.
  • 20
    Diercks DB, Roe MT, Chen AY, et al. Prolonged emergency department stays of non–ST-segment elevation myocardial infarction patients are associated with worse adherence to the American College of Cardiology/American Heart Association Guidelines for Management and increased adverse events. Ann Emerg Med. 2007; 50:48996.
  • 21
    Thompson DA, Yarnold PR, Williams DR, Adams SL. Effects of actual waiting time, perceived waiting time, information delivery, and expressive quality on patient satisfaction in the emergency department. Ann Emerg Med. 1996; 28:65765.
  • 22
    Taylor C, Benger JR. Patient satisfaction in emergency medicine. Emerg Med J. 2004; 21:52832.
  • 23
    Bayley MD, Schwartz JS, Shofer FS, et al. The financial burden of emergency department congestion and hospital crowding for chest pain patients awaiting admission. Ann Emerg Med. 2005; 45:1107.
  • 24
    National Quality Forum. NQF Endorses Measures to Address Care Coordination and Efficiency in Hospital Emergency Departments: Measures Can Help Decrease Wait Time, Increase Physician Productivity, and Safety. Available at: http://www.Qualityforum.org. Accessed Aug 24, 2010.
  • 25
    Centers for Medicare and Medicaid Services. Medicare Program: Proposed Changes to the Hospital Inpatient Prospective Payment Systems and Fiscal Year 2009 Rates; Proposed Changes to Disclosure of Physician Ownership in Hospitals and Physician Self-Referral Rules; Proposed Collection of Information Regarding Financial Relationships Between Hospitals and Physicians; Proposed Rule. Federal Register. 2008; 73(84):42. FR Parts 411, 412, 413.
  • 26
    U.S. Department of Health and Human Services. Medicare.gov - Hospital Compare. Available at: http://www.medicare.gov/Hospital/Search/Welcome.asp. Accessed Jul 14, 2010.
  • 27
    Thomson Reuters. ISI Web of Knowledge: ISI Thomson Impact Factor. Available at: http://thomsonreuters.com/products_services/science/free/essays/impact_factor/. Accessed Jul 14, 2010.
  • 28
    Welch S, Augustine J, Camargo CA Jr, Reese C. Emergency department performance measures and benchmarking summit. Acad Emerg Med. 2006; 13:107480.
  • 29
    U.S. Department of Health and Human Services: National Center for Health Statistics. National Hospital Ambulatory Medical Care Survey. Available at: http://www.cdc.gov/nchs/ahcd.htm. Accessed Jul 14, 2010.
  • 30
    Norman GR, Streiner DL. Biostatistics : The Bare Essentials. Hamilton, Ontario: B. C. Decker Inc., 2000.
  • 31
    Tabachnick BG, Fidell LS. Using Multivariate Statistics. Boston, MA: Allyn and Bacon, 2001.
  • 32
    U.S. Commerce Department Technology Administration. NIST/SEMATECH e-Handbook of Statistical Methods. Available at: http://www.itl.nist.gov/div898/handbook/. Accessed Jul 14, 2010.
  • 33
    Peat J, Barton B. Medical Statistics: A Guide to Data Analysis and Critical Appraisal. Malden, MA: Blackwell Publishing Ltd, 2005.
  • 34
    Hing E, Gousen G, Shimizu I, Burt C. Guide to using masked design variables to estimate standard errors in public use files of the National Ambulatory Medical Care Survey and the National Hospital Ambulatory Medical Care Survey. Inquiry. 2003; 40:401.
  • 35
    Fan J, Kao W, Yen DH, Wang L, Huang C, Lee C. Risk factors and prognostic predictors of unexpected intensive care unit admission within 3 days after ED discharge. Am J Emerg Med. 2007; 25:100914.
  • 36
    Miles J, Shevlin M. Applying Regression and Correlation: A Guide for Students and Researchers. Thousand Oaks, CA: Sage Publications, 2001.
  • 37
    Bridge PD, Sawilowsky SS. Increasing physicians’ awareness of the impact of statistics on research outcomes: comparative power of the t-test and Wilcoxon rank-sum test in small samples applied research. J Clin Epidemiol. 1999; 52:22935.
  • 38
    Kassam SA, Thomas JB. Nonparametric weighted-signs tests for location. SIAM J Appl Math. 1977; 32:64952.
  • 39
    Cristóbal J, Alcalá J. An overview of nonparametric contributions to the problem of functional estimation from biased data. TEST. 2001; 10:30932.
  • 40
    Kang Q, Nelson PI. Nonparametric tests for the median from a size-biased sample. J Nonparametric Stat. 2008; 20:1937.
  • 41
    Schriger DL, Cooper RJ. Achieving graphical excellence: suggestions and methods for creating high-quality visual displays of experimental data. Ann Emerg Med. 2001; 37:7587.