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Volumn 30, Issue 3, 2009, Pages 273-276

Nosocomial infection, length of stay, and time-dependent bias

Author keywords

[No Author keywords available]

Indexed keywords

ARTICLE; HAZARD RATIO; HOSPITAL ADMISSION; HOSPITAL INFECTION; HOSPITALIZATION; HUMAN; LENGTH OF STAY; MAJOR CLINICAL STUDY; PNEUMONIA;

EID: 61849128314     PISSN: 0899823X     EISSN: None     Source Type: Journal    
DOI: 10.1086/596020     Document Type: Article
Times cited : (76)

References (10)
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    • Immortal time bias in pharmacoepidemiology
    • Suissa S. Immortal time bias in pharmacoepidemiology. Am J Epidemiol 2008; 167:492-499.
    • (2008) Am J Epidemiol , vol.167 , pp. 492-499
    • Suissa, S.1
  • 2
    • 33744796216 scopus 로고    scopus 로고
    • Use of multistate models to assess prolongation of intensive care unit stay due to nosocomial infection
    • Beyersmann J, Gastmeier P, Grundmann H, et al. Use of multistate models to assess prolongation of intensive care unit stay due to nosocomial infection. Infect Control Hosp Epidemiol 2006; 27:493-499.
    • (2006) Infect Control Hosp Epidemiol , vol.27 , pp. 493-499
    • Beyersmann, J.1    Gastmeier, P.2    Grundmann, H.3
  • 3
    • 4444283796 scopus 로고    scopus 로고
    • Time-dependent bias was common in survival analyses published in leading clinical journals
    • van Walraven C, Davis D, Forster A, Wells G. Time-dependent bias was common in survival analyses published in leading clinical journals. J Clin Epidemiol 2004; 57:672-682.
    • (2004) J Clin Epidemiol , vol.57 , pp. 672-682
    • van Walraven, C.1    Davis, D.2    Forster, A.3    Wells, G.4
  • 4
    • 55249097625 scopus 로고    scopus 로고
    • An easy mathematical proof showed that time-dependent bias inevitably leads to biased effect estimation
    • Beyersmann J, Gastmeier P, Wolkewitz M, Schumacher M. An easy mathematical proof showed that time-dependent bias inevitably leads to biased effect estimation. J Clin Epidemiol 2008; 61:1216-1221.
    • (2008) J Clin Epidemiol , vol.61 , pp. 1216-1221
    • Beyersmann, J.1    Gastmeier, P.2    Wolkewitz, M.3    Schumacher, M.4
  • 6
    • 61849128701 scopus 로고    scopus 로고
    • The impact of time-dependent bias in proportional hazards modelling
    • Beyersmann J, Wolkewitz M, Schumacher M. The impact of time-dependent bias in proportional hazards modelling. Stat Med 2008; 27:6439-6454.
    • (2008) Stat Med , vol.27 , pp. 6439-6454
    • Beyersmann, J.1    Wolkewitz, M.2    Schumacher, M.3
  • 7
    • 55249104054 scopus 로고    scopus 로고
    • Bayesian semiparametric multi-state models
    • Kneib T, Hennerfeind A. Bayesian semiparametric multi-state models. Stat Modelling 2008; 8:169-198.
    • (2008) Stat Modelling , vol.8 , pp. 169-198
    • Kneib, T.1    Hennerfeind, A.2
  • 8
    • 42949122104 scopus 로고    scopus 로고
    • Risk factors for the development of nosocomial pneumonia and mortality on intensive care units: Application of competing risks models
    • Wolkewitz M, Vonberg R, Grundmann H, et al. Risk factors for the development of nosocomial pneumonia and mortality on intensive care units: application of competing risks models. Crit Care 2008; 12:R44.
    • (2008) Crit Care , vol.12
    • Wolkewitz, M.1    Vonberg, R.2    Grundmann, H.3
  • 9
    • 34848842203 scopus 로고    scopus 로고
    • A simulation-based evaluation of methods to estimate the impact of an adverse event on hospital length of stay
    • Samore MH, Shen S, Greene T, et al. A simulation-based evaluation of methods to estimate the impact of an adverse event on hospital length of stay. Med Care 2007; 45(suppl 2):S108-115.
    • (2007) Med Care , vol.45 , Issue.SUPPL. 2
    • Samore, M.H.1    Shen, S.2    Greene, T.3


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.