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Volumn 17, Issue 5, 2007, Pages 943-946

Mixture model framework facilitates understanding of zero-inflated and hurdle models for count data

Author keywords

Count data; Finite mixture model; Hurdle model; Zero inflated model

Indexed keywords

VACCINE;

EID: 34548831993     PISSN: 10543406     EISSN: 15205711     Source Type: Journal    
DOI: 10.1080/10543400701514098     Document Type: Article
Times cited : (18)

References (6)
  • 4
    • 0001854290 scopus 로고    scopus 로고
    • Models for count data with many zeroes
    • Cape Town, Invited Papers, pp, Available at:, Accessed on March 15, 2007
    • Ridout, M. S., Demetrio, C. G. B., Hinde, J. (1998). Models for count data with many zeroes. Proceedings of the XIXth International Biometric Conference, Cape Town, Invited Papers, pp. 179-192. Available at: http://www.kent.ac.uk/ims/personal/msr/webfiles/zip/ibc_fin.pdf. Accessed on March 15, 2007.
    • (1998) Proceedings of the XIXth International Biometric Conference , pp. 179-192
    • Ridout, M.S.1    Demetrio, C.G.B.2    Hinde, J.3
  • 5
    • 33745712460 scopus 로고    scopus 로고
    • On the use of zero-inflated and hurdle models for modeling vaccine adverse event count data
    • Rose, C. E., Martin, S. W., Wannemuehler, K. A., Plikaytis, B. D. (2006). On the use of zero-inflated and hurdle models for modeling vaccine adverse event count data. J. Biopharma. Stat. 16:463-481.
    • (2006) J. Biopharma. Stat , vol.16 , pp. 463-481
    • Rose, C.E.1    Martin, S.W.2    Wannemuehler, K.A.3    Plikaytis, B.D.4
  • 6
    • 0029938342 scopus 로고    scopus 로고
    • Mixed Poisson regression models with covariate dependent rates
    • Wang, P., Puterman, M. L., Cockburn, I., Le, N. (1996). Mixed Poisson regression models with covariate dependent rates. Biometrics 52:381-400.
    • (1996) Biometrics , vol.52 , pp. 381-400
    • Wang, P.1    Puterman, M.L.2    Cockburn, I.3    Le, N.4


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.