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Volumn 319, Issue 7206, 1999, Pages 376-379

Methods in health service research. Evaluation of health interventions at area and organisation level

Author keywords

[No Author keywords available]

Indexed keywords

ARTICLE; CLUSTER ANALYSIS; HEALTH SERVICES RESEARCH; HUMAN; METHODOLOGY; PRIORITY JOURNAL; TREATMENT OUTCOME;

EID: 0033533238     PISSN: 09598146     EISSN: None     Source Type: Journal    
DOI: 10.1136/bmj.319.7206.376     Document Type: Article
Times cited : (115)

References (24)
  • 2
    • 43949159608 scopus 로고
    • Cluster randomisation trials in epidemiology: Theory and application
    • 2 Donner A, Klai N. Cluster randomisation trials in epidemiology: theory and application. J Stat Planning Inference 1994;42:37-56.
    • (1994) J Stat Planning Inference , vol.42 , pp. 37-56
    • Donner, A.1    Klai, N.2
  • 3
    • 0025690127 scopus 로고
    • A methodological review of non-therapeutic intervention trials employing cluster randomisation, 1979-1989
    • 3 Donner A, Brown KS, Brasher P. A methodological review of non-therapeutic intervention trials employing cluster randomisation, 1979-1989. Int J Epidemiol 1990;19:795-800.
    • (1990) Int J Epidemiol , vol.19 , pp. 795-800
    • Donner, A.1    Brown, K.S.2    Brasher, P.3
  • 4
    • 0030153970 scopus 로고    scopus 로고
    • More appropriate evaluation methods for community-level health interventions
    • 4 McKinlay JB. More appropriate evaluation methods for community-level health interventions. Evaluation Review 1996;20:237-43.
    • (1996) Evaluation Review , vol.20 , pp. 237-243
    • McKinlay, J.B.1
  • 5
    • 0021737684 scopus 로고
    • Choosing the correct unit of analysis in medical care experiments
    • 5 Whiting O'Keefe QE, Henke C, Simborg DW. Choosing the correct unit of analysis in medical care experiments. Med Care 1984;22:1401-14.
    • (1984) Med Care , vol.22 , pp. 1401-1414
    • Whiting O'Keefe, Q.E.1    Henke, C.2    Simborg, D.W.3
  • 6
    • 0029092986 scopus 로고
    • Improved treatment of sexually transmitted diseases on HIV infection in rural Tanzania: Randomised controlled trial
    • 6 Grossdkurth H, Mosha F, Todd J, Mwijaruhi E, Klokke E, Seikoto K, et al. Improved treatment of sexually transmitted diseases on HIV infection in rural Tanzania: randomised controlled trial. Lancet 1995;346:530-6.
    • (1995) Lancet , vol.346 , pp. 530-536
    • Grossdkurth, H.1    Mosha, F.2    Todd, J.3    Mwijaruhi, E.4    Klokke, E.5    Seikoto, K.6
  • 7
    • 0029912547 scopus 로고    scopus 로고
    • Why we need observational studies to evaluate the effectiveness of health care
    • 7 Black N. Why we need observational studies to evaluate the effectiveness of health care. BMJ 1996;312:1215-8.
    • (1996) BMJ , vol.312 , pp. 1215-1218
    • Black, N.1
  • 9
    • 0020078306 scopus 로고
    • Randomisation by cluster. Sample size requirements and analysis
    • 9 Donner A, Birkett N, Buck C. Randomisation by cluster. Sample size requirements and analysis. Am J Epidemiol 1981;114:906-14.
    • (1981) Am J Epidemiol , vol.114 , pp. 906-914
    • Donner, A.1    Birkett, N.2    Buck, C.3
  • 10
    • 0026539350 scopus 로고
    • Sample size requirements for cluster randomisation designs
    • 10 Donner A. Sample size requirements for cluster randomisation designs, Stat Med 1992;11:743-50.
    • (1992) Stat Med , vol.11 , pp. 743-750
    • Donner, A.1
  • 11
    • 0023776023 scopus 로고
    • Sample size formulae for intervention studies with the cluster as unit of randomisation
    • 11 Hsieh FY. Sample size formulae for intervention studies with the cluster as unit of randomisation. Stat Med 1988;7:1195-201.
    • (1988) Stat Med , vol.7 , pp. 1195-1201
    • Hsieh, F.Y.1
  • 12
    • 0028088909 scopus 로고
    • Parameters to aid in the design and analysis of community trials: Intraclass correlations from the Minnesota Heart Health Programme
    • 12 Hannan PJ, Murray DM, Jacobs DR Jr, McGovern PG. Parameters to aid in the design and analysis of community trials: intraclass correlations from the Minnesota Heart Health Programme. Epidemiology 1994;5:88-95.
    • (1994) Epidemiology , vol.5 , pp. 88-95
    • Hannan, P.J.1    Murray, D.M.2    Jacobs D.R., Jr.3    McGovern, P.G.4
  • 14
    • 0033135126 scopus 로고    scopus 로고
    • Components of variance and intraclass correlations for the design of community-based surveys and intervention studies: Data from the health survey for England 1994
    • 14 Gulliford MC, Ukoumunne OC, Chinn S. Components of variance and intraclass correlations for the design of community-based surveys and intervention studies: data from the health survey for England 1994. Am J Epidemiol 1999;149:876-83.
    • (1999) Am J Epidemiol , vol.149 , pp. 876-883
    • Gulliford, M.C.1    Ukoumunne, O.C.2    Chinn, S.3
  • 15
    • 0030861942 scopus 로고    scopus 로고
    • The design and analysis of paired cluster randomised trials: An application of meta-analysis techniques
    • 15 Thompson SG, Pyke SDM, Hardy RJ. The design and analysis of paired cluster randomised trials: an application of meta-analysis techniques. Stat Med 1997;16:2063-79.
    • (1997) Stat Med , vol.16 , pp. 2063-2079
    • Thompson, S.G.1    Pyke, S.D.M.2    Hardy, R.J.3
  • 16
    • 0030816096 scopus 로고    scopus 로고
    • The merits of matching: A cautionary tale
    • 16 Klar N, Donner A. The merits of matching: a cautionary tale. Stat Med 1997;16:1753-6.
    • (1997) Stat Med , vol.16 , pp. 1753-1756
    • Klar, N.1    Donner, A.2
  • 17
    • 0009723813 scopus 로고
    • The effect of matching on the power of randomised community intervention studies
    • 17 Martin DC, Diehr P, Perrin EB, Koepsell TD. The effect of matching on the power of randomised community intervention studies. Stat Med 1993;46:123-31.
    • (1993) Stat Med , vol.46 , pp. 123-131
    • Martin, D.C.1    Diehr, P.2    Perrin, E.B.3    Koepsell, T.D.4
  • 18
    • 0029071893 scopus 로고
    • Breaking the matches in a paired t-test for community interventions when the number of pairs is small
    • 18 Diehr P, Martin DC, Koepsell T, Cheadle A. Breaking the matches in a paired t-test for community interventions when the number of pairs is small. Stat Med 1995;14:1491-504.
    • (1995) Stat Med , vol.14 , pp. 1491-1504
    • Diehr, P.1    Martin, D.C.2    Koepsell, T.3    Cheadle, A.4
  • 19
    • 0027976998 scopus 로고
    • Cohort versus cross-sectional design in large held trials: Precision, sample size and a unifying model
    • 19 Feldman HA, McKinlay SM. Cohort versus cross-sectional design in large held trials: precision, sample size and a unifying model. Stat Med 1994;13:61-78.
    • (1994) Stat Med , vol.13 , pp. 61-78
    • Feldman, H.A.1    McKinlay, S.M.2
  • 21
    • 0027467660 scopus 로고
    • Confidence interval construction for effect measures arising from cluster randomisation trials
    • 21 Donner A, Klar N. Confidence interval construction for effect measures arising from cluster randomisation trials. J Clin Epidemiol 1993;46:123-31.
    • (1993) J Clin Epidemiol , vol.46 , pp. 123-131
    • Donner, A.1    Klar, N.2
  • 22
    • 0030177388 scopus 로고    scopus 로고
    • Multi-level models application to health data
    • 22 Rice N, Leyland A. Multi-level models application to health data. J Health Serv Res Policy 1996;1:154-64.
    • (1996) J Health Serv Res Policy , vol.1 , pp. 154-164
    • Rice, N.1    Leyland, A.2
  • 23
    • 0031963276 scopus 로고    scopus 로고
    • Context, composition and heterogeneity: Using multi-level models in health research
    • 23 Duncan C, Jones K, Moon G. Context, composition and heterogeneity: using multi-level models in health research. Soc Sci Med 1998;46:97-117.
    • (1998) Soc Sci Med , vol.46 , pp. 97-117
    • Duncan, C.1    Jones, K.2    Moon, G.3


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.