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Journal Abstract Search

646 related items for PubMed ID: 27873333

  • 21. Proportional hazards under Conway-Maxwell-Poisson cure rate model and associated inference.
    Balakrishnan N, Barui S, Milienos FS.
    Stat Methods Med Res; 2017 Oct; 26(5):2055-2077. PubMed ID: 28523958
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  • 22. Weighted estimation of the accelerated failure time model in the presence of dependent censoring.
    Cho Y, Ghosh D.
    PLoS One; 2015 Oct; 10(4):e0124381. PubMed ID: 25909753
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  • 23. Semiparametric regression analysis of failure time data with dependent interval censoring.
    Chen CM, Shen PS.
    Stat Med; 2017 Sep 20; 36(21):3398-3411. PubMed ID: 28585322
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  • 24. Simulating recurrent event data with hazard functions defined on a total time scale.
    Jahn-Eimermacher A, Ingel K, Ozga AK, Preussler S, Binder H.
    BMC Med Res Methodol; 2015 Mar 08; 15():16. PubMed ID: 25886022
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  • 25. Cause-specific cumulative incidence estimation and the fine and gray model under both left truncation and right censoring.
    Geskus RB.
    Biometrics; 2011 Mar 08; 67(1):39-49. PubMed ID: 20377575
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  • 26. Conditional maximum likelihood estimation in semiparametric transformation model with LTRC data.
    Chen CM, Shen PS.
    Lifetime Data Anal; 2018 Apr 08; 24(2):250-272. PubMed ID: 28168333
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  • 27. An Expectation Maximization algorithm for fitting the generalized odds-rate model to interval censored data.
    Zhou J, Zhang J, Lu W.
    Stat Med; 2017 Mar 30; 36(7):1157-1171. PubMed ID: 28004414
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  • 28. Joint models for efficient estimation in proportional hazards regression models.
    Slasor P, Laird N.
    Stat Med; 2003 Jul 15; 22(13):2137-48. PubMed ID: 12820279
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  • 29. Power calculation for a score test in the dependent censoring model.
    Lee SY.
    Stat Med; 1996 May 30; 15(10):1049-58. PubMed ID: 8783441
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  • 30. Proportional hazard model estimation under dependent censoring using copulas and penalized likelihood.
    Xu J, Ma J, Connors MH, Brodaty H.
    Stat Med; 2018 Jun 30; 37(14):2238-2251. PubMed ID: 29579781
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  • 31. Conditional transformation models for survivor function estimation.
    Möst L, Hothorn T.
    Int J Biostat; 2015 May 30; 11(1):23-50. PubMed ID: 25719339
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  • 32. Analysis of accelerated failure time data with dependent censoring using auxiliary variables via nonparametric multiple imputation.
    Hsu CH, Taylor JM, Hu C.
    Stat Med; 2015 Aug 30; 34(19):2768-80. PubMed ID: 25999295
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  • 33. Comparison of hypertabastic survival model with other unimodal hazard rate functions using a goodness-of-fit test.
    Tahir MR, Tran QX, Nikulin MS.
    Stat Med; 2017 May 30; 36(12):1936-1945. PubMed ID: 28173610
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  • 34. Estimation of treatment effect under non-proportional hazards and conditionally independent censoring.
    Boyd AP, Kittelson JM, Gillen DL.
    Stat Med; 2012 Dec 10; 31(28):3504-15. PubMed ID: 22763957
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  • 35. Causal inference in survival analysis using pseudo-observations.
    Andersen PK, Syriopoulou E, Parner ET.
    Stat Med; 2017 Jul 30; 36(17):2669-2681. PubMed ID: 28384840
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  • 36. Model selection for survival individualized treatment rules using the jackknife estimator.
    Honvoh GD, Cho H, Kosorok MR.
    BMC Med Res Methodol; 2022 Dec 22; 22(1):328. PubMed ID: 36550398
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  • 37. Censoring issues in survival analysis.
    Leung KM, Elashoff RM, Afifi AA.
    Annu Rev Public Health; 1997 Dec 22; 18():83-104. PubMed ID: 9143713
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  • 38. Analysis of composite endpoints with component-wise censoring in the presence of differential visit schedules.
    Eaton AA, Zabor EC.
    Stat Med; 2022 Apr 30; 41(9):1599-1612. PubMed ID: 35043427
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  • 39. Analysis of linear transformation models with covariate measurement error and interval censoring.
    Mandal S, Wang S, Sinha S.
    Stat Med; 2019 Oct 15; 38(23):4642-4655. PubMed ID: 31347177
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  • 40. On hazard-based penalized likelihood estimation of accelerated failure time model with partly interval censoring.
    Li J, Ma J.
    Stat Methods Med Res; 2020 Dec 15; 29(12):3804-3817. PubMed ID: 32689908
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