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Volumn 78, Issue 18, 2008, Pages 3212-3215

Classification of 2×2 sparse data sets with zero cells

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Indexed keywords


EID: 56349122690     PISSN: 01677152     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.spl.2008.06.023     Document Type: Article
Times cited : (15)

References (12)
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  • 6
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    • Friedrich, J.O., Adhikari, N.K., Beyene, J., 2007. Inclusion of zero total event trials in meta-analyses maintains analytic consistency and incorporates all available data. BMC Medical Research Methodology. 7:5, http://www.biomedcentral.com/1471-2288/7/5
    • Friedrich, J.O., Adhikari, N.K., Beyene, J., 2007. Inclusion of zero total event trials in meta-analyses maintains analytic consistency and incorporates all available data. BMC Medical Research Methodology. 7:5, http://www.biomedcentral.com/1471-2288/7/5
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    • Skene, A.M.1    Wakefield, J.C.2
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    • What to add to nothing? Use and avoidance of continuity corrections in meta-analysis of sparse data
    • Sweeting M.J., Sutton A.J., and Lambert P.C. What to add to nothing? Use and avoidance of continuity corrections in meta-analysis of sparse data. Statistics in Medicine 23 (2004) 1351-1375
    • (2004) Statistics in Medicine , vol.23 , pp. 1351-1375
    • Sweeting, M.J.1    Sutton, A.J.2    Lambert, P.C.3
  • 11
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    • Tian, L., Cai, T., Piankov, N., Cremieux, P., Wei, L.J., 2007. Effectively combining independent 2×2 tables for valid inferences in meta-analysis with all available data but no artificial continuity corrections for studies with zero events and its application to the analysis of Rosiglitazone's cardiovascular disease related event data. Biostatistics Working paper series. Harvard University. http://www.bepress.com/harvardbiostat/paper69
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    • A multilevel model framework for meta-analysis of clinical trials with binary outcomes
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* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.