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Volumn 64, Issue 1, 2013, Pages

Re: Helene Hartvedt Grytli, Morten Wang Fagerland, Sophie D. Fosså, Kristin Austlid Taskén. Association between use of β-blockers and prostate cancer-specific survival: A cohort study of 3561 prostate cancer patients with high-risk or metastatic disease. Eur Urol. in press. http://dx.doi.org/10.1016/j.eururo.2013.01.007.

Author keywords

[No Author keywords available]

Indexed keywords

ACETYLSALICYLIC ACID; BETA ADRENERGIC RECEPTOR BLOCKING AGENT; HYDROXYMETHYLGLUTARYL COENZYME A REDUCTASE INHIBITOR;

EID: 84878840742     PISSN: 03022838     EISSN: 18737560     Source Type: Journal    
DOI: 10.1016/j.eururo.2013.03.046     Document Type: Letter
Times cited : (7)

References (3)
  • 1
    • 84895064442 scopus 로고    scopus 로고
    • Association between use of β-blockers and prostate cancer-specific survival: A cohort study of 3561 prostate cancer patients with high-risk or metastatic disease
    • In press
    • Grytli HH, Fagerland MW, Fosså SD, Taskén KA. Association between use of β-blockers and prostate cancer-specific survival: a cohort study of 3561 prostate cancer patients with high-risk or metastatic disease. Eur Urol. In press. http://dx.doi.org/10.1016/j.eururo.2013.01.007.
    • Eur Urol.
    • Grytli, H.H.1    Fagerland, M.W.2    Fosså, S.D.3    Taskén, K.A.4
  • 2
    • 39349101029 scopus 로고    scopus 로고
    • Immortal time bias in pharmaco-epidemiology
    • S. Suissa Immortal time bias in pharmaco-epidemiology Am J Epidemiol 167 2008 492 499
    • (2008) Am J Epidemiol , vol.167 , pp. 492-499
    • Suissa, S.1
  • 3
    • 77951579430 scopus 로고    scopus 로고
    • Problem of immortal time bias in cohort studies: Example using statins for preventing progression of diabetes
    • L.E. Lévesque, J.A. Hanley, A. Kezouh, and S. Suissa Problem of immortal time bias in cohort studies: example using statins for preventing progression of diabetes BMJ 340 2010 b5087
    • (2010) BMJ , vol.340 , pp. 5087
    • Lévesque, L.E.1    Hanley, J.A.2    Kezouh, A.3    Suissa, S.4


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.