SEARCH

SEARCH BY CITATION

References

  • 1
    Plowman RP, Graves N, Roberts JA. Hospital Acquired Infection. London: Office of Health Economics, 1997.
  • 2
    EPINE Working Group. Prevalence of hospital-acquired infections in Spain. J Hosp Infect 1992;20:113.
  • 3
    Vaque J, Rosell J, Trilla A. Nosocomial infections in Spain: results of five nationwide serial prevalence surveys (EPINE project, 1990 to 1994). Nosocomial infections prevalence study in Spain. Infect Control Hosp Epidemiol 1996;17:2937.
  • 4
    EPINE Working Group. Prevalence of hospital infections in Spain. EPINE Study. Spanish Society in Preventive Medicine and Public Health, Madrid, 2008 [in Spanish.
  • 5
    Haley R. Incidence and nature of endemic and epidemic nosocomial infections. In: BennettJV, BrachmanP, eds. Hospital Infections. Boston, MA: Little Brown, 1995.
  • 6
    Plowman RP, Graves N, Griffin MAS, et al. The rate and cost of hospital-acquired infections occurring in patients admitted to selected specialties of a district general hospital in England and the national burden imposed. J Hosp Infect 2001;47:198209.
  • 7
    Kampf G, Gastmeier P, Wischnewski N, et al. Analysis of risk factors for nosocomial infections—results from the first national prevalence survey in Germany (NIDEP study, part 1). J Hosp Infect 1997;37:10312.
  • 8
    Girou E, Stephan F, Novara A, et al. Risk factors and outcome of nosocomial infections: results of a matched case-control study of ICU patients. Am J Resp Crit Care 1998;157:11518.
  • 9
    Savas L, Guvel S, Onlen Y, et al. Nosocomial urinary tract infections: micro-organisms, antibiotic sensitivities and risk factors. West Indian Med J 2006;55:18893.
  • 10
    Huang Y, Zhuang S, Du M. Risk factors of nosocomial infection with extended-spectrum beta-lactamase-producing bacteria in a neonatal intensive care unit in China. Infection 2007;35:33945.
  • 11
    Albert H, Chib S. Bayesian analysis of binary and polychotomous response data. J Am Stat Assoc 1993;88:66979.
  • 12
    McCulloch R, Polson N, Rossi P. A Bayesian analysis of the multinomial probit model with fully identified parameters. J Econ 1999;99:17393.
  • 13
    O'Hagan A, Woodward EG, Moodaley LC. Practical Bayesian analysis of a simple logistic regression: predicting corneal transplants. Stat Med 1990;9:1091101.
  • 14
    Albert J, Chib S. Bayesian residual analysis for binary response regression models. Biometrika 1995;82:74769.
  • 15
    Holmes CC, Held L. Bayesian auxiliary variable models for Binary and Multinomial Regression. Bayesian Anal 2006;1:14568.
  • 16
    Ll B, Pérez JM, Ayuso M, et al. A Bayesian dichotomous model with asymmetric link for fraud in insurance. Insur Math Econ 2008;42:77986.
  • 17
    Chen M, Dey D, Shao Q. A new skewed link model for dichotomous quantal response data. J Am Stat Assoc 1999;94:117286.
  • 18
    Graves N. Economic and preventing hospital acquired infection. Emerg Infect Dis 2004;10:5616.
  • 19
    Garner JS, Jarvis WR, Emori TG, et al. CDC definitions for nosocomial infections, 1988. Am J Infect Control 1988;16:12840.
  • 20
    Basu S, Mukhopadhayay S. Bayesian analysis of binary regression using symmetric and asymmetric links. Sankhya 2000;3:37287.
  • 21
    Bazán J, Franco M, Bolfarine H. A skew item response model. Bayesian Anal 2006;1:86192.
  • 22
    Lunn DJ, Thomas A, Best N, Spiegelhalter D. WinBUGS: a Bayesian modelling framework: concepts, structure, and extensibility. Stat Comput 2000;10:32537.
  • 23
    Carlin BP, Polson NG. Monte Carlo Bayesian methods for discrete regression models and categorical time series. Bayesian Stat 1992;4:57786.
  • 24
    Gilks WR, Richardson S, Spiegelhalter DJ. Introducing markov chain monte carlo. In: GilksWR, RichardsonS, SpiegelhalterDJ, eds. Markov Chain Monte Carlo in Practice. London: Chapman and Hall, 1995.
  • 25
    Cameron AC, Trivedi PK. Regression Analysis of Count Data. Econometric Society Monographs. Cambridge: Cambridge University Press, 1998.
  • 26
    R Development Core Team. R: A Language and Environment for Statistical Computing. Vienna: R Foundation for Statistical Computing, 2008. Available from: http://www.R-project.org[Accessed August 15, 2009].
  • 27
    Winkelmann R. Econometric Analysis of Count Data (4th ed.). Berlin: Springer-Verlag, 2003.
  • 28
    Steyerberg WE, Harrell FE, Borsboom JM, et al. Internal validation of predictive models: efficiency of some procedures for logistic regression analysis. J Clin Epidemiol 2001;54:77481.
  • 29
    Spiegelhalter DJ, Best NG, Carlin BP, Van der Linde A. Bayesian measures of model complexity and fit. J Roy Stat Soc B Met 2002;64:583639.
  • 30
    Klei DG. Survival Analaysis: A Self-Learning Text (Statistics for Biology and Health) (2nd ed.). New York: Springer, 2005.
  • 31
    Baser O. Too much ado about propensity score models? Comparing methods of propensity score matching. Value Health 2006;9:37785.