메뉴 건너뛰기




Volumn 33, Issue 6, 2014, Pages 1070-1080

Funnel plots for population-based cancer survival: Principles, methods and applications

Author keywords

Cancer survival; Funnel plot; Geographical variation; Population base; Surveillance

Indexed keywords

CANCER SURVIVAL; FUNNEL PLOT; GEOGRAPHICAL VARIATION; POPULATION BASE; SURVEILLANCE;

EID: 84893763942     PISSN: 02776715     EISSN: 10970258     Source Type: Journal    
DOI: 10.1002/sim.5953     Document Type: Article
Times cited : (27)

References (32)
  • 1
    • 16844363244 scopus 로고    scopus 로고
    • Funnel plots for comparing institutional performance
    • Spiegelhalter DJ. Funnel plots for comparing institutional performance. Statistics in Medicine 2005; 24:1185-1202.
    • (2005) Statistics in Medicine , vol.24 , pp. 1185-1202
    • Spiegelhalter, D.J.1
  • 3
    • 0345349896 scopus 로고
    • The application of statistics as an aid in maintaining quality of a manufactured product
    • Shewhart WA. The application of statistics as an aid in maintaining quality of a manufactured product. Journal American Statistical Association 1925; 20:546-548.
    • (1925) Journal American Statistical Association , vol.20 , pp. 546-548
    • Shewhart, W.A.1
  • 8
    • 84893769130 scopus 로고    scopus 로고
    • Index of Cancer Survival for Primary Care Trusts in England-Patients Diagnosed 1996-2009 and followed Up to 2010. Office for National Statistics
    • Quaresma M, Jakomis N, Gordon E, Carrigan C, Coleman MP, Rachet B. Index of Cancer Survival for Primary Care Trusts in England-Patients Diagnosed 1996-2009 and followed Up to 2010. Office for National Statistics, 2011.
    • (2011)
    • Quaresma, M.1    Jakomis, N.2    Gordon, E.3    Carrigan, C.4    Coleman, M.P.5    Rachet, B.6
  • 11
    • 67449085830 scopus 로고    scopus 로고
    • Regional differences in population-based cancer survival between six prefectures in Japan: application of relative survival models with funnel plots
    • Ito Y, Ioka A, Tsukuma H, Ajiki W, Sugimoto T, Rachet B, Coleman MP. Regional differences in population-based cancer survival between six prefectures in Japan: application of relative survival models with funnel plots. Cancer Science 2009; 100:1306-1311.
    • (2009) Cancer Science , vol.100 , pp. 1306-1311
    • Ito, Y.1    Ioka, A.2    Tsukuma, H.3    Ajiki, W.4    Sugimoto, T.5    Rachet, B.6    Coleman, M.P.7
  • 12
    • 0034823867 scopus 로고    scopus 로고
    • Funnel plots for detecting bias in meta-analysis: guidelines on choice of axis
    • Sterne J, Egger M. Funnel plots for detecting bias in meta-analysis: guidelines on choice of axis. Journal of Clinical Epidemiology 2001; 54:1046-1055.
    • (2001) Journal of Clinical Epidemiology , vol.54 , pp. 1046-1055
    • Sterne, J.1    Egger, M.2
  • 13
    • 27144513474 scopus 로고    scopus 로고
    • Handling over-dispersion of performance indicators
    • Spiegelhalter DJ. Handling over-dispersion of performance indicators. Quality Safety Health Care 2005; 14:347-351.
    • (2005) Quality Safety Health Care , vol.14 , pp. 347-351
    • Spiegelhalter, D.J.1
  • 14
    • 0036905448 scopus 로고    scopus 로고
    • Funnel plots for institutional comparison
    • Spiegelhalter DJ. Funnel plots for institutional comparison. Quality Safety Health Care 2002; 11(4):390-391.
    • (2002) Quality Safety Health Care , vol.11 , Issue.4 , pp. 390-391
    • Spiegelhalter, D.J.1
  • 17
    • 84893783798 scopus 로고
    • Instructions to IBM 650 Programmers in Processing Survival Computations. Methodological note No. 10, End Results Evaluation Section, National Cancer Institute, Bethesda MD
    • Ederer F, Heise H. Instructions to IBM 650 Programmers in Processing Survival Computations. Methodological note No. 10, End Results Evaluation Section, National Cancer Institute, Bethesda MD, 1959.
    • (1959)
    • Ederer, F.1    Heise, H.2
  • 18
    • 0020390843 scopus 로고
    • Cancer survival corrected for heterogeneity in patient withdrawal
    • Hakulinen T. Cancer survival corrected for heterogeneity in patient withdrawal. Biometrics 1982; 38:933-942.
    • (1982) Biometrics , vol.38 , pp. 933-942
    • Hakulinen, T.1
  • 19
    • 84858287943 scopus 로고    scopus 로고
    • On estimation in relative survival
    • Perme MP, Stare J, Estv̀e J. On estimation in relative survival. Biometrics 2012; 68(1):113-120.
    • (2012) Biometrics , vol.68 , Issue.1 , pp. 113-120
    • Perme, M.P.1    Stare, J.2    Estv̀e, J.3
  • 21
    • 0025285232 scopus 로고
    • Relative survival and the estimation of net survival: elements for further discussion
    • Estève J, Benhamou E, Croasdale M, Raymond L. Relative survival and the estimation of net survival: elements for further discussion. Statistics in Medicine 1990; 9:529-538.
    • (1990) Statistics in Medicine , vol.9 , pp. 529-538
    • Estève, J.1    Benhamou, E.2    Croasdale, M.3    Raymond, L.4
  • 23
    • 68949111979 scopus 로고    scopus 로고
    • Further development of flexible parametric models for survival analysis
    • Lambert PC, Royston P. Further development of flexible parametric models for survival analysis. Stata Journal 2010; 9:265-290.
    • (2010) Stata Journal , vol.9 , pp. 265-290
    • Lambert, P.C.1    Royston, P.2
  • 24
    • 84893779595 scopus 로고    scopus 로고
    • Cancer Research UK Cancer Survival Group (). strel computer program, version 1.2.8. Downloaded from on the 1st February 2009. Faculty of Non-Communicable Disease Epidemiology, London School of Hygiene & Tropical Medicine, UK.
    • Cancer Research UK Cancer Survival Group (2006). strel computer program, version 1.2.8. Downloaded from http://www.lshtm.ac.uk/eph/ncde/cancersurvival/tools/ on the 1st February 2009. Faculty of Non-Communicable Disease Epidemiology, London School of Hygiene & Tropical Medicine, UK.
    • (2006)
  • 27
    • 5344238942 scopus 로고    scopus 로고
    • Standard cancer patient population for age standardising survival ratios
    • Corazziari I, Quinn MJ, Capocaccia R. Standard cancer patient population for age standardising survival ratios. European Journal of Cancer 2004; 40:2307-2316.
    • (2004) European Journal of Cancer , vol.40 , pp. 2307-2316
    • Corazziari, I.1    Quinn, M.J.2    Capocaccia, R.3
  • 29
    • 0020336278 scopus 로고
    • Approximate confidence intervals for probabilities of survival and quantiles in life-table analysis
    • Anderson JR, Bernstein L, Pike MC. Approximate confidence intervals for probabilities of survival and quantiles in life-table analysis. Biometrics 1982; 38(2):407-416.
    • (1982) Biometrics , vol.38 , Issue.2 , pp. 407-416
    • Anderson, J.R.1    Bernstein, L.2    Pike, M.C.3
  • 30
    • 0242684648 scopus 로고    scopus 로고
    • Mortality control charts for comparing performance of surgical units: validation study using hospital mortality data
    • Tekkis PP, McCulloch P, Steger AC, Benjamin IS, Poloniecki JD. Mortality control charts for comparing performance of surgical units: validation study using hospital mortality data. British Medical Journal 2003; 326(7393):786-788.
    • (2003) British Medical Journal , vol.326 , Issue.7393 , pp. 786-788
    • Tekkis, P.P.1    McCulloch, P.2    Steger, A.C.3    Benjamin, I.S.4    Poloniecki, J.D.5


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.