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A bivariate regression model for matched paired survival data: local influence and residual analysis (2010)

  • Authors:
  • USP affiliated authors: LOUZADA NETO, FRANCISCO - ICMC ; ORTEGA, EDWIN MOISES MARCOS - ESALQ ; CANCHO, VICENTE GARIBAY - ICMC
  • USP Schools: ICMC; ESALQ; ICMC
  • DOI: 10.1007/s10260-010-0140-1
  • Subjects: ESTATÍSTICA; ANÁLISE DE REGRESSÃO E DE CORRELAÇÃO
  • Language: Inglês
  • Imprenta:
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    Informações sobre o DOI: 10.1007/s10260-010-0140-1 (Fonte: oaDOI API)
    • Este periódico é de assinatura
    • Este artigo NÃO é de acesso aberto
    • Cor do Acesso Aberto: closed
    Versões disponíveis em Acesso Aberto do: 10.1007/s10260-010-0140-1 (Fonte: Unpaywall API)

    Título do periódico: Statistical Methods & Applications

    ISSN: 1618-2510,1613-981X



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    Informações sobre o Citescore
  • Título: Statistical Methods and Applications

    ISSN: 1618-2510

    Citescore - 2017: 0.68

    SJR - 2017: 0.466

    SNIP - 2017: 0.613


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    • ABNT

      BARRIGA, Gladys Dorotea Cacsire; LOUZADA, Francisco; ORTEGA, Edwin Moisés Marcos; CANCHO, Vicente Garibay. A bivariate regression model for matched paired survival data: local influence and residual analysis. Statistical Methods & Applications, Heidelberg, Springer, v. 19, n. 4, p. 477-495, 2010. Disponível em: < http://dx.doi.org/10.1007/s10260-010-0140-1 > DOI: 10.1007/s10260-010-0140-1.
    • APA

      Barriga, G. D. C., Louzada, F., Ortega, E. M. M., & Cancho, V. G. (2010). A bivariate regression model for matched paired survival data: local influence and residual analysis. Statistical Methods & Applications, 19( 4), 477-495. doi:10.1007/s10260-010-0140-1
    • NLM

      Barriga GDC, Louzada F, Ortega EMM, Cancho VG. A bivariate regression model for matched paired survival data: local influence and residual analysis [Internet]. Statistical Methods & Applications. 2010 ; 19( 4): 477-495.Available from: http://dx.doi.org/10.1007/s10260-010-0140-1
    • Vancouver

      Barriga GDC, Louzada F, Ortega EMM, Cancho VG. A bivariate regression model for matched paired survival data: local influence and residual analysis [Internet]. Statistical Methods & Applications. 2010 ; 19( 4): 477-495.Available from: http://dx.doi.org/10.1007/s10260-010-0140-1

    Referências citadas na obra
    Carrasco JMF, Ortega EMM, Paula GA (2008) Log-modified Weibull regression models with censored data: sensitivity and residual analysis. Comput Stat Data Anal 52: 4021–4029
    Clayton DG (1978) A model for association in bivariate life-tables and its application in epidemiological studies of familial tendency in chronic disease incidence. Biometrika 65: 141–151
    Collett D (2003) Modelling survival data in medical research. Chapman & Hall, London
    Conway DA (1979) Farlie–Gumbel–Morgenstern distributions. In: Kotz S, Johnson NL (eds) Encyclopedia of statistical sciences, vol 3. Wiley, New York, pp 28–31
    Cook RD (1986) Assessment of local influence (with discussion). J R Stat Soc B 48: 133–169
    Cox DR, Hinkley DV (1974) Theorical statistics. Chapman and Hall, London
    Cox DR, Oakes D (1984) Analysis of survival data. Chapman and Hall, New York
    Cox DR, Snell EJ (1968) A general definition of residuals. J R Stat Soc B 30: 248–275
    Doornik J (2001) Ox: an object-oriented matrix programming language. International Thomson Bussiness Press, UK
    Embrechts P, Linskog F, McNiel A (2003) Modelling dependence with copulas and applications to risks management. http://www.math.ethz.ch/baltes/ftp/papers.html
    Escobar LA, Meeker WQ (1992) Assessing influence in regression analysis with censored data. Biometrics 48: 507–528
    Fachini JB, Ortega EMM, Louzada-Neto F (2008) Influence diagnostics for polyhazard models in the presence of covariates. Stat Methods Appl 17: 413–433
    Galea M, Riquelme M, Paula GA (2000) Diagnostics methods in elliptical linear regression models. Braz J Probab Stat 14: 167–184
    Gustafson P, Aeschliman D, Levy AR (2003) A simple approach to fitting Bayesian survival models. Lifetime Data Anal 9: 5–19
    He W, Lawless JF (2005) Bivariate location-scale models for regression analysis, with applications to lifetime data. J R Stat Soc 67: 63–78
    Hougaard P (1986) A class of multivariate failure time distributions. Biometrika 73: 671–678
    Hougaard P (1989) Fitting a multivariate failure time distribution. IEEE Trans Reliab 38: 444–448
    Jin Z, Lin DY, Wei LJ, Ying Z (2003) Rank-based inference for the accelerated failure time model. Biometrika 90: 341–353
    Klein JP, Moeschberger ML (1997) Survival analysis: techniques for censored and truncated data. Springer, New York
    Lawless JF (2003) Statistical models and methods for lifetime data. Wiley, New York
    Lesaffre E, Verbeke G (1998) Local influence in linear mixed models. Biometrics 54: 570–582
    McCullagh P, Nelder JA (1989) Generalized linear models, 2nd edn. Chapman and Hall, London
    McGilchrist CA, Aisbett CW (1991) Regression with frailty is survival analysis. Biometrics 47: 461–466
    Nelsen R (1999) An introduction to copulas. Springer, New York
    Oakes D (1989) Bivariate survival models induced by frailties. J Am Stat Assoc 84: 487–493
    Ortega EMM, Bolfarine H, Paula GA (2003) Influence diagnostics in generalized log-gamma regression models. Comput Stat Data Anal 42: 165–186
    Ortega EMM, Cancho VG, Bolfarine H (2006) Influence diagnostics in exponentiated—Weibull regression models with censored data. Stat Oper Res Trans 30: 172–192
    Ortega EMM, Rizzato FB, Demétrio CGB (2008a) The generalized log-gamma mixture model with covariates: local influence and residual analysis. Stat Methods Appl. doi: 10.1007/s10260-008-0104-x
    Ortega EMM, Paula GA, Bolfarine H (2008b) Deviance resiadual in generalized log-gamma regression models. J Stat Comput Simul 78: 747–764
    Ortega EMM, Paula GA, Bolfarine H (2009) Generalized log-gamma regression models with cure fraction. Lifetime Data Anal 15: 79–106
    Paula GA (1993) Assessing local influence in restricted regression models. Comput Stat Data Anal 16: 63–79
    Paula GA (1995) Influence and residuals in restricted generalized linear models. J Stat Comput Simul 51: 315–352
    Pettitt AN, Bin Daud I (1989) Case-weight measures of influence for proportional hazards regression. Appl Stat 38: 51–67
    Romeo JSN, Tanaka NI, Pedroso de Lima AC (2006) Bivariate survival modeling: a Bayesian approach based on Copulas. Lifetime Data Anal 12: 205–222
    Sahu SK, Dey DK (2000) A comparison of frailty and other models for bivariate survival data. Lifetime Data Anal 6: 207–228
    Shih JH, Louis TA (1995) Inferences on the association parameter in copula models for bivariate survival data. Biometrics 51: 1384–1399
    Silva GO, Ortega EMM, Cancho VG, Barreto ML (2008) Log-Burr XII regression models with censored data. Comput Stat Data Anal 52: 3820–3842
    Vaupel JW, Manton KG, Stallard E (1979) The impact of heterogeneity in individual frailty on the dynamics of mortality. Demography 16: 439–454